Semantic Content Networks are the semantic networks of things with relations, directed graphs, attributes and facts. Every declaration, and proposition for semantic search represent a factual repository. Open Information Extraction is a methodology for creation of a semantic network. The Knowledge Base and Knowledge Graph are connected things to each other in terms of factual repository usage. The Knowledge Base represents a factual repository with descriptions and triples. Knowledge Graph is the visualized version of the Knowledge Base. A semantic network is knowledge representation. Semantic Network is prominent to understand the value of an individual node, or the similar and distant members of the same semantic network. Semantic networks are implemented for the search engine result pages. Semantic networks are to create a factual and connected question and answer networks. A semantic network can be represented and consist of from textual and visual content. Semantic Network include lexical parts and lexical units.
Links, Nodes, and Labels are parts of the semantic networks. Procedural Parts are constructors, destructors, writers and readers. Procedural parts are to expand the semantic networks and refresh the information on it.
Structural Part has links and nodes. Semantic part has the associated meanings which are represented as the labels.
The semantic content networks have different types of relations and relation types.
Semantic content networks have "and/OR" trees.
Semantic Content Networks have "Relation Type Examples" with "is/A" hierarchies.
Semantic Content Networks have "is/Part" Hierarchy.
Inheritance, reification, multiple inheritance, range queries and values, intersection search, complex semantic networks, inferential distance, partial ordering, semantic distance, and semantic relevance are concepts from semantic networks.
Semantic networks help understanding semantic search engines and the semantic SEO. Because, it contains all of the related lexical relations, semantic role labels, entity-attribute pairs, or triples like entity, predicate and object. Search engines prefer to use semantic networks to understand the factuality of a website. Knowledge-based Trust is related to the semantic networks because it provides a factuality related trust score to balance the PageRank. The knowledge-based Trust is announced by Luna DONG. Ramanathan V. Guha is another inventor from the Google and Schema.org. He focuses on the semantic web and semantic search engine behaviors. He explored and invented the semantic search engine related facts.
Semantic Content Networks are used as a concept by Koray Tuğberk GÜBÜR who is founder of Holistic SEO & Digital. Expressing semantic content networks helps to shape the semantic networks via textual and visual content pieces. The semantic content networks are helpful to shape the truth on the open web, and help a search engine to rank a website even if there is no external PageRank flow.
Slawski New Approaches for Structured Data:Evolution of Question Answering
Google has moved from Search to Knowledge, and Focusing on Answering questions with knowledge graph entity information provides has led to answering queries with Knowledge graphs for those questions, with confidence scores between entities and other entities or attributes of entities, based upon freshness, reliabilillity, popularity, and proximity between an entity and another entity or an attribute.
This document summarizes how Google search results are evolving to include more semantic data through direct answers, structured snippets, and rich snippets. It provides examples of direct answers being extracted from authoritative sources using natural language queries and intent templates. It also discusses how including structured data like tables, schemas, and markup can help search engines understand and display page content in a more standardized way. While knowledge-based trust is an interesting concept, current search ranking still primarily relies on link analysis and does not consider factual correctness.
William slawski-google-patents- how-do-they-influence-search
Bill Slawski presented a webinar on analyzing patents related to search engines and SEO. He discussed 12 Google patents covering topics like PageRank, Google's news ranking algorithm, analyzing images to detect brand penetration, and building user location history. The patents described Google's work in building knowledge graphs from web pages, ranking entities in search results, question answering, and determining quality visits to local businesses.
Building a semantic search system - one that can correctly parse and interpret end-user intent and return the ideal results for users’ queries - is not an easy task. It requires semantically parsing the terms, phrases, and structure within queries, disambiguating polysemous terms, correcting misspellings, expanding to conceptually synonymous or related concepts, and rewriting queries in a way that maps the correct interpretation of each end user’s query into the ideal representation of features and weights that will return the best results for that user. Not only that, but the above must often be done within the confines of a very specific domain - ripe with its own jargon and linguistic and conceptual nuances.
This talk will walk through the anatomy of a semantic search system and how each of the pieces described above fit together to deliver a final solution. We'll leverage several recently-released capabilities in Apache Solr (the Semantic Knowledge Graph, Solr Text Tagger, Statistical Phrase Identifier) and Lucidworks Fusion (query log mining, misspelling job, word2vec job, query pipelines, relevancy experiment backtesting) to show you an end-to-end working Semantic Search system that can automatically learn the nuances of any domain and deliver a substantially more relevant search experience.
Google's search results now include entities and concepts. Entities refer to people, places, things, and 20-30% of queries are for name entities. Google uses meta data like Freebase to build a taxonomy of entities and their relationships. This supports features like the Knowledge Graph, which provides information panels, and allows querying of nearby entities which may soon be available in search results.
What percentage of an Inbound marketer's day doesn't involve working with spreadsheets? How much of this work is time-consuming and repetitive? In this interactive session, you will learn how to manipulate Google Sheets to automate common data analysis workflows using Python, a very easy to use programming language.
How to Automatically Subcategorise Your Website Automatically With Python
The document describes a Python script that can automatically generate new subcategories for an ecommerce website based on clustering product names. It discusses:
- Using NLTK to generate n-grams from product names to cluster related products
- Filtering the n-grams to keep only those with commercial value by checking for search volume and CPC data
- Running the script on a large home improvement site to identify over 1,650 new subcategory opportunities with a total search volume of over 13 million
- Sharing the script so others can automate subcategory identification for their own sites to scale up an important SEO tactic.
1) Google uses various techniques to extract structured information like entities, relationships, and properties from unstructured text on the web and databases. This extracted information is then used to generate knowledge graphs and provide augmented responses to user queries.
2) One key technique is to identify patterns in which tuples of information are stored in databases, and then extract additional tuples by repeating the process and utilizing the identified patterns.
3) Google also extracts entities from user queries and may generate a knowledge graph to answer questions by providing information about the entities from sources like its own knowledge graph and information extracted from the web.
SEO Case Study - Hangikredi.com From 12 March to 24 September Core Update
This document provides SEO metrics and comparisons for the website hangikredi.com over several time periods between April 2019 and September 2019. It shows substantial increases in key metrics like organic traffic, clicks, impressions, and average position after Google algorithm updates in May, June, July, and September. However, it also shows significant drops in these metrics during a server outage in early August. Overall the data demonstrates the site's strong SEO performance and organic growth over the 6-month period analyzed.
Passage indexing is likely more important than you think
Whilst passage indexing may seem like a small tweak to search ranking, it is potentially much more symptomatic of the beginning of a fundamental shift in the way that search engines understand unstructured content, determine relevance in natural language, and rank efficiently and effectively.
It could also be a means of assessing overall quality of content and a means of dynamic index pruning. We will look at the landscape, and also provide some takeaways for brands and business owners looking to improve quality in unstructured content overall in this fast changing landscape.
This document discusses digital marketing strategies focused on establishing authority through valuable, timeless content. It recommends creating content such as articles, videos, and academic papers on topics that will remain relevant for years to establish expertise. Creating a steady stream of high-quality content over time builds an online presence and credibility without major risks of losses, and may lead to job offers, clients, or other opportunities. It provides examples of interactive dashboards and open-source software that gained popularity and users by continuously publishing improvements and documentation without needing to rely on things like resumes or company profiles.
A beginner's guide to machine learning for SEOs - WTSFest 2022
This is a guide for machine learning for beginners, tailored to the SEO industry, aimed at breaking down the challenges that hold us back from experimenting, the breakdown of machine learning's main characteristics to help us understand how to implement it a bit better, and the ways we can embed advanced technology into our daily practice.
BrightonSEO March 2021 | Dan Taylor, Image Entity Tags
My talk from BrightonSEO 2021; focusing on using Google's image category labels (glancing into the Knowledge Graph and Google's image annotation processes) for better topic research and content optimization.
The document discusses using Python for SEO applications such as data extraction, preparation, analysis, machine learning and deep learning. It provides an agenda and examples of using Python to solve challenging SEO problems from site migrations and traffic losses. Methods demonstrated include pulling data from Google Analytics, storing in DataFrames, regular expression grouping, and training machine learning models on page features to classify page groups and identify losses. Later sections discuss using deep learning with computer vision models to classify web pages from screenshots.
Google Lighthouse is super valuable but it only checks one page at a time.
Hamlet will show you how to get it to check all pages of a site, and how to run automated Lighthouse checks on-demand at scheduled intervals and from automated tests.
He'll also cover how to set performance budgets, how to get alerts when budgets are exceeded, and how to aggregate page reports using BigQuery and Google Data Studio.
This document discusses the value and uses of hyperlinks. It explains that hyperlinks can help understand a person's influence, interests, and peers. Hyperlinks also allow you to find influencers around a topic or identify the authors of a news site. The key takeaway is that having access to true link data and understanding how to analyze link information can provide new insights.
PubCon, Lazarina Stoy. - Machine Learning in Search: Google's ML APIs vs Open...
The document discusses Google's ML APIs versus OpenAI's APIs and their applications for SEO and digital marketing tasks. It provides examples of how natural language processing APIs from Google and OpenAI can be used for tasks like text analysis, sentiment analysis, document classification, translation and content transformation. While both Google and OpenAI APIs are useful, the document recommends choosing the right API for each specific task based on its capabilities and limitations in order to get the best results.
The document discusses the evolution of search engines from basic keyword search to semantic search using knowledge graphs and structured data. It provides examples of how search engines like Google are now able to provide direct answers to queries by searching structured data rather than just documents. It emphasizes the importance of representing web content as structured data using schemas like schema.org to be discoverable in semantic search and knowledge graphs.
The document discusses search engines and how they have evolved over time. It explains that early search engines ranked results based mainly on content, while modern engines also consider factors like page structure, popularity, and reputation. The document provides definitions of key search-related terms and outlines some of the main components and processes involved in how search engines work, such as crawling websites, indexing pages, and ranking results. It also discusses different types of search tools and how to choose the best one depending on your information needs.
This document discusses search engine optimization and the development of search systems. It notes that computer science has directed search system development with a focus on results relevance, while neglecting user experience. The intent is to inspire deeper engagement in designing search experiences that do more than just sell products. It also discusses challenges like the volume of online information, differences in language and perception, and the limitations of current search systems.
The document discusses five SEO strategies that every company needs to master: link building, Google authorship, setting a canonical URL, using microdata/schema markup, and responsive design. It provides an overview of each strategy and tips for implementation, such as getting natural, editorial links; verifying authorship on Google+; selecting the best URL version; marking up content with structured data like events; and coding websites responsively for any device.
The document provides an overview of search engines and search engine optimization (SEO). It defines key SEO concepts like crawling, indexing, and serving results which are the main components of a search engine's architecture. It also explains on-site optimization techniques like optimizing titles, meta tags, headings, links, and images. Off-site optimization techniques discussed include link building through press releases, article submissions, social media, and directory submissions. The document emphasizes the importance of user experience, relevant content, and authority/backlinks when optimizing a site.
The document discusses how content analytics can enhance search capabilities. It provides examples of how key phrases, collocations, and statistically improbable phrases can be used to power related searches, cluster results, and enable faceted search. Beyond search, these content analytics techniques can be applied to applications like product recommendations, social media analysis, and customer experience analytics.
The document discusses issues with how computer science has directed the development of search systems, focusing on efficiency over user experience. It argues search systems have paid minimal attention to the user experience beyond results relevance and ad-matching. The goal of the plenary is to inspire designing search experiences that do more than just sell products well.
HTML5 is taking web documents to a next level, by adding semantics. HTML5 contains several semantics elements but they are not enough to annotate your content. You can tag your content with Microdata to build a better web document which can be understood by machines.
This presentation helps you understand Microdata, one of the most popular format to add semantics to your content. It will also give a brief about Google Rich Snippets.
Top 10 Must Do’s in the Ever-changing World of SEO
This document provides a summary of the top 10 SEO best practices that website owners should follow in today's ever-changing world of search engine optimization. It discusses writing content for audiences, using relevant keywords, optimizing site content with keywords, getting quality backlinks, custom 404 pages, canonical URLs, navigation, XML sitemaps, schema/microdata, and responsive design. The presentation provides details on how to properly implement each practice to improve search engine rankings and visibility.
The document provides guidance on initial steps for developing a search application, including validating the need for full-text search, identifying ideal search results, considering clustering results, and producing requirements and choosing a technology. Some key recommendations include sketching out ideal results for sample queries, determining how results should be ordered and presented, and considering if and how results could be clustered. Determining ideal results and clustering options can help drive specific requirements and the selection of an appropriate technology.
The document provides an overview of search engine optimization (SEO) concepts, including:
1) The importance of SEO for driving online and offline sales.
2) How search engines work and are composed of web crawlers and databases to index web pages.
3) Key factors search engines use to evaluate and rank pages, such as relevance, importance, links, and content.
4) Techniques for improving rankings, like optimizing titles, meta tags, and adding relevant and quality backlinks.
This document provides an overview of Anzo Unstructured, a natural language processing (NLP) platform from Cambridge Semantics. It discusses the core capabilities of Anzo Unstructured, including intake of various file formats, extraction of entities and relationships, and semantic analysis. It also outlines example use cases in pharma and finance. The document demonstrates the configuration and visualization of Anzo Unstructured pipelines and annotations.
How to SEO a Terrific - and Profitable - User Experience
Tune in for Portent SEO Marianne Sweeny’s January webinar: “How to SEO a Terrific – and Profitable – User Experience.” Learn how search engine algorithms are now incorporating IA, UX and content strategy, as well as methods for directing Google, Bing & Co. to perform better for your users.
Sourcing with Social Media: Tips from a Corporate Sleuth by Sean Campbell
The free, one-hour webinar, Sourcing with Social Media: Tips from a Corporate Sleuth, was originally held Nov. 13, 2013.
During this session, the principal in a competitive-intelligence firm will teach you how to harness social media to identify “influencers” – both regionally and nationally – in industries you cover, as well as how to contact them successfully.
YOU WILL LEARN HOW TO:
Find people who are experts on the topics related to your story
Identify sources at a regional and a national level
Get from their handle to their real name, and find them on many sites
“Listen in” on these people as they broadcast across a variety of social media
Determine their tone related to the topic – pro/against, etc.
Determine the extent of their reach; when they talk, how many people listen?
Determine the best way to reach out to them and make contact
YOUR INSTRUCTOR
Sean Campbell is a co-owner of Cascade Insights, a competitive-intelligence and market-research firm near Portland, Ore., that serves the technology industry. Before founding Cascade in 2006, he co-created and sold 3 Leaf, a technical consultancy that worked for some of the world’s largest technology companies, including Microsoft and Intel.
He teaches courses in industry analysis and competitive intelligence in Willamette University’s MBA Program.
His book, “Going Beyond Google: Gathering Internet Intelligence,” which he co-authored with Cascade co-owner Scott Swigart, was listed as a best read by the Strategic and Competitive Intelligence Professionals Association for 2009 and 2010.
View or download this Cascade Insights primer to learn more about Campbell’s company.
For more information training opportunities for business journalists, please visit http://businessjournalism.org.
Knowledge Panels, Rich Snippets and Semantic Markup
My 2016 Pubcon Presentation showing how I incorporate Knowledge Panels, Entities, the Knowledge Graph API, Rich Snippets, Featured Snippets and Structured Snippets in SEO site Audits.
The document outlines critical rules for SEO success in 2014, including writing content for audiences, speaking the searchers' language by understanding their profiles and keywords, optimizing site content by including keywords throughout pages, and getting quality links through compelling content and curated directories rather than manipulative strategies.
The document summarizes Bill Slawski's presentation on search and social media patents from 2012 and beyond. It discusses various patents Google has acquired related to search, social media, hardware, fiber optic networks, and more. It also outlines patents for phrase-based indexing, concept-based indexing, ranking pages based on user interactions, building a knowledge graph, and developing a planet-scale distributed search index. Slawski suggests Google may expand into hardware, entertainment, internet service provision, and more based on its patent portfolio.
One of the most iconic foods in Australia is the meat pie. This handheld snack or meal consists of a pastry shell filled with minced meat, most commonly beef, and savoury gravy. It is often enjoyed at sporting events or as a quick and satisfying lunch option.
Visit - https://theaussieway.com.au/category/food/
The Top 6 Facebook Ad Hacks of 2024, Targeting the Untargetable - Larry Kim
It’s been a difficult few years for Facebook Ads due to signal loss from iOS/Firefox/Chrome and the associated loss of ad targeting precision and ROAS. In this session, delve into 100% new high-impact strategies for thriving in Facebook advertising in a world without 3rd party cookies.
You'll uncover the top 7 Facebook ad hacks of 2024, all centered around first party ad signal data restoration and how to coax the new default Meta Audience+ ad targeting system to do what you want it to do, each backed by solid results and case studies. Learn how to skyrocket your landing page conversions by 20-25%, how to scale ads like never before, and target niche audiences with strategies that defy traditional norms.
Plus, gain insights into critical privacy regulations and how to maintain a full compliance therein.
NIMA2024 | Hoe Danone Trends vertaalt naar Strategie voor het versterken van ...
Develop a category & retail vision to drive business impact today
Join Arnoud from Danone and Tris from Ipsos Strategy3 as they guide you on a journey through the art of leveraging trends and foresights to craft a category and retail vision. Discover the crucial need of future readiness, and understand how the future can lead to new opportunities, here and now. Be prepared to unlock the future potential of your enterprise!
CampusEdge offers a comprehensive suite of tools including financial management, human resources, student information, and more. It promotes streamlined processes and data integration.
Enhanced efficiency and productivity through automation, data centralization, and real-time insights. Improved decision-making based on accurate data and analytics.
Allows for seamless scalability to adapt to the changing needs of educational institutions. Enables consolidation of various functions into a single platform.
Initial planning and assessment of requirements. Configuration and customization of the software to fit the institution's unique structure and processes.
Comprehensive training programs for staff to ensure effective utilization. Phased deployment strategy to minimize disruptions.
Foundations in Content Optimization: How to Optimize Your Content to Fuel Organic Traffic Growth
A highly tactical introduction to best practices in optimizing your owned content to drive sustainable (and converting) organic traffic. In this Master Class, we'll cover everything from identifying the right keywords to use to how to strategically apply them to your content strategy to generate ROI.
Key Takeaways:
- A breakdown of key content-related factors Google and other Search Engines use when ranking content.
- Understand the basics of keyword research and where to begin.
- Learn how to apply those keyword learnings to optimize your content strategy and owned assets to maximize their organic visibility.
- Learn what to measure to articulate ROI and feed back into your strategy.
Digital Marketing Trends, Experts Insights on How to Gain a Competitive Edge ...
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
PPC and SEO Synergies - Strategies Every Company Should Deploy - Benjamin Lund
Top 7 PPC and SEO strategies to drive more traffic and conversions. Most companies already own the data, let's share the data and boost the performance of both channels.
Key Takeaways:
Why PPC and SEO teams should strategize together7 ways PPC and SEO can work together to drive even more conversions
Revolutionizing Advertising with Billion Broadcaster Standee Screen Media
Billion Broadcaster's standee screen media is revolutionizing the advertising landscape with innovative digital screens placed in high-traffic areas such as malls, airports, and residential complexes. These dynamic screens capture attention with vibrant multimedia content, offering a visually engaging platform for advertisers.
Chemical Industry- Rashtriya Chemical Fertilizers (RCF) .pptx
Research on chemical industry with considering one of PSU as an example Rashtriya Chemical Fertilizers (RCF). Chemical Industry trend, strengths, weaknesses. Chemical Industry market position as well as RCF position. RCF revenue, profit, EBITDA, forecast, technology, past performance. State wise revenue of chemical industry and RCF as well
Billion Broadcaster's Frame Posters and Horizontal Lift Advertising Screens: ...
Billion Broadcaster revolutionizes advertising with its innovative combination of frame posters and horizontal lift advertising screens. The frame posters, strategically placed for maximum visibility, offer a timeless and elegant medium for brand messaging.
Digital marketing metrics every one must know in 2024
The "Digital Marketing Metrics" PDF by Digital Scape provides a detailed guide to essential metrics used in digital marketing. It explains the importance of metrics in tracking and optimizing marketing efforts, offering definitions, formulas, and examples for each metric. The document covers metrics such as Return on Ad Spend (ROAS), Customer Lifetime Value (CLV), Cost of Acquisition (COA), Click Through Rate (CTR), Conversion Rate (CVR), Cost Per Sale (CPS), Bounce Rate, and Lead Conversion Rate (LCR). The aim is to equip marketers with the knowledge needed to make data-driven decisions and enhance campaign performance.
Learn what is metrics, difference in metrics, different types of metrics and calculation.
Create Content in Half the Time with Generative AI - Nick Mattar
Nick will present his "best of" findings from reviewing and testing more than 200 generative AI platforms over the last three years. While some programs will save you more than half the time, you can bet to save at least 50% of your time creating content if you begin using these tools.
Key Takeaways:
Attendees will walk away with a comprehensive list of generative AI programs that will make their lives easier. From blogging to video production and even AI marketing assistants, you will learn about nearly 20 AI platforms that are guaranteed to make your life easier in some way.
How Can German Auto Repair Shops Benefit From Digital Marketing
In today's digital age, German auto repair shops can leverage digital marketing to enhance visibility, engage customers through personalized interactions, and reach targeted demographics effectively. By optimizing online presence, managing reputation, and analyzing performance data, shops can achieve cost-efficient growth and competitive advantage in the market.
Digital Marketing Trends Experts Insights on How to Gain a Competitive Edge -...
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
SEO for Revenue, Grow Your Business, Not Just Your Rankings - Dale Bertrand
Let’s be honest. Improvements in search rankings and organic traffic don’t always translate into sales. Yet, you spend the majority of your SEO resources on driving rankings and traffic. What if you built your SEO content with conversion in mind from the beginning? You’d generate more organic traffic that actually converts into revenue! Join 20-year search marketing veteran as he unveils his framework for developing SEO content with conversion in mind every step of the way ‒ from keyword strategy to content development and publication.
Takeaways:
Tactics and benchmarks for SEO content that converts in 2024
Page layouts and content formats that convert organic traffic
Crafting keyword strategy and calls-to-action for conversion
In 2024, digital marketing is not just an optional strategy for businesses; it's a fundamental component of any successful marketing plan. The rapid evolution of technology and changing consumer behaviors have made digital marketing more critical than ever. Here’s why digital marketing is indispensable in 2024 and how digital marketing agency can propel your business to new heights.
EyekooTech is committed to helping businesses navigate the complexities of digital marketing. Whether you're a small startup or a large enterprise, our innovative strategies and data-driven approach can elevate your brand and connect you with your target audience.
PHP (Hypertext Preprocessor) is a widely-used open-source scripting language that is particularly suited for web development and can be embedded into HTML. It is primarily used for server-side scripting but can also be used as a general-purpose programming language. PHP is renowned for its simplicity, flexibility, and ease of integration with various databases and web servers, making it one of the most popular languages for building dynamic websites and web applications.led by Mr. Hirdesh Bharadwaj, is an ideal choice for summer training in PHP in Delhi. With Mr. Bharadwaj's extensive 15 years of experience in the field, Webs Jyoti offers top-notch training in PHP development.
One notable aspect of Webs Jyoti is its unique approach. It's not just a training institute but also functions as a development agency. This means that students not only receive theoretical knowledge but also gain practical experience by working on real-world projects.Ducat offers comprehensive PHP training with a strong focus on practical implementation and live projects. Their course covers the latest industry standards and trends, ensuring that students are well-prepared for job placements .
Webs Jyoti: This institute provides 100% practical classes, study materials written by the founder, and training on 2-3 live projects. They also offer job placement assistance and grooming sessions for job seekers.Voice Search Optimization ACIL Computer Education: Known for its industry-standard training, ACIL offers various PHP courses ranging from basic to advanced levels. They emphasize hands-on training with real-world simulations and provide job assistance and placement guarantees for certain courses.
APTRON Gurgaon: APTRON offers a well-structured PHP course with modules on basic to advanced PHP concepts, webs jyoti, and CodeIgniter. They also provide live project experience and job placement assistance.
SLA Consultants India: SLA offers an advanced PHP training program designed by experienced professionals. Their course includes live projects, instructor-led classroom sessions, and extensive practical exposure to ensure students are industry-ready .
Each of these institutes has its own strengths, so you might choose one based on specific criteria such as course content, faculty experience, or placement records.Webs Jyoti: This institute provides 100% practical classes, study materials written by the founder, and training on 2-3 live projects. They also offer job placement assistance and grooming sessions for job seekers.Webs Jyoti ensures that students receive top-notch education and support to kickstart their careers in coding and software development.One notable aspect of Webs Jyoti is its unique approach. It's not just a training institute but also functions as a development agency. This means that students not only receive theoretical knowledge but also gain practical experience by working on real-world projects. Mr. Bharadwaj's extensive 15 years experien
The Reason Behind Semantic SEO: Why does Google Avoid the Word PageRank?Koray Tugberk GUBUR
This article delves into the concepts of Semantic SEO, Topical Authority, and PageRank, exploring their relationships and how they benefit both website owners and search engines. By leveraging Natural Language Processing (NLP) techniques, Semantic SEO improves search engine comprehension of content and enhances user experience, ultimately leading to better search results.
In the ever-evolving world of Search Engine Optimization (SEO), understanding the intricate connections between Semantic SEO, Topical Authority, and PageRank is crucial for webmasters, content creators, and marketers. These concepts play a vital role in enhancing the visibility and relevance of websites in search results.
Semantic SEO: Going Beyond Keywords
Semantic SEO involves optimizing content by focusing on the meaning and context of words, phrases, and sentences rather than merely targeting specific keywords. This is achieved through NLP techniques such as topic modeling, sentiment analysis, and entity recognition, which allow search engines to comprehend the true essence of content.
Topical Authority: Establishing Expertise and Trustworthiness
Topical Authority refers to the perceived expertise of a website or content creator in a specific subject area. By producing high-quality, relevant, and in-depth content, websites can establish themselves as authorities, earning the trust of both users and search engines. This translates into higher search rankings and increased visibility.
PageRank: Measuring the Importance of Webpages
PageRank is an algorithm used by Google to determine the significance of a webpage by analyzing the quality and quantity of its inbound links. A higher PageRank implies that a website is more authoritative and valuable, thus warranting a better position in search results.
The Interrelation of Semantic SEO, Topical Authority, and PageRank
Semantic SEO, Topical Authority, and PageRank are interconnected concepts that work in tandem to improve a website's search performance. By focusing on Semantic SEO, content creators can enhance their Topical Authority and establish a solid online presence. This, in turn, can lead to higher PageRank and improved search visibility.
The Benefits of Semantic SEO for Search Engines
Semantic SEO not only benefits website owners but also search engines by reducing the cost of understanding documents. With the help of NLP techniques, search engines can efficiently analyze and comprehend content, making it easier to identify and index relevant webpages. This ultimately leads to more accurate search results and a better user experience.
In conclusion, embracing Semantic SEO, Topical Authority, and PageRank is essential for achieving higher search rankings and increased online visibility. By leveraging NLP techniques, Semantic SEO offers a more sophisticated and efficient approach to understanding and optimizing content, ultimately benefiting both website owners and search engines.
Coronavirus and Future of SEO: Digital Marketing and Remote CultureKoray Tugberk GUBUR
I have attended a great SEO and Digital Marketing webinar with Founder of Stradiji and SEMRush Turkey Lead Mr. Mert Erkal and My Dearest Friend and SEO Consultant Atakan Erdoğan.
Small Note: After I uploaded the presentation, Google launched a new Covid-19 news address like Bing/covid-19. You may want to look at it -> https://www.google.com/covid-19
I have prepared a Presentation about Coronavirus's Effects on Search Engine Optimization (SEO).
You will find Coronavirus's changing effects on Digital Marketing and psychology of global society while using Search Engines.
I also have focused on Search Engine's and Social Media Brands, E-commerce Site's reflexes against Coronavirus Pandemic.
You will see the web sites and categories who earn more traffic and lose traffic. You will also see conversion rate differences because of Coronavirus.
Also, I have told about Search Engine's differences and their attitude against the Coronavirus Pandemic, their future, their updates during the pandemic.
In the last part, you will see some new 2020 Web Technology and Design Trends with AI.
There are also Google Researches for better Search Engine technologies.
Questions:
1- What are the differences between Yandex, Google, Bing, and Duckduckgo for Coronavirus Pandemic?
2- Twitter, Instagram, Amazon or Apple, what are they doing?
3- What do people search most for during the Coronavirus Crisis?
4- What changes from country to country?
5- What are the future technologies of Web and App?
6- How and why do Search Engines improve AI, what is the last events?
7- Which sites loose traffic and which earn more?
8- Lots of quotes from International SEOs about the pandemic.
And more...
I am Koray Tuğberk GÜBÜR and a Holistic SEO Expert.
I sincerely thank you for my Dearest Friend Atakan Erdoğan and Mr. Mert Erkal for this awesome webinar opportunity and experience.
To watch the webinar, please visit Stradiji's Official Youtube Channel.
https://www.youtube.com/watch?v=V4sJTNcRqaM&t=100s
Quality Content at Scale Through Automated Text Summarization of UGCHamlet Batista
The document discusses using automated text summarization techniques to generate quality content at scale from user-generated content like online product reviews. It proposes a technical plan to download Amazon reviews, remove duplicate sentences using neural semantic textual similarity, and then generate frequently asked questions and corresponding FAQ schema by feeding the review text into a neural question generation model. The goal is to leverage user content and machine learning to automatically create helpful content for websites.
Slawski New Approaches for Structured Data:Evolution of Question Answering Bill Slawski
Google has moved from Search to Knowledge, and Focusing on Answering questions with knowledge graph entity information provides has led to answering queries with Knowledge graphs for those questions, with confidence scores between entities and other entities or attributes of entities, based upon freshness, reliabilillity, popularity, and proximity between an entity and another entity or an attribute.
Semantic seo and the evolution of queriesBill Slawski
This document summarizes how Google search results are evolving to include more semantic data through direct answers, structured snippets, and rich snippets. It provides examples of direct answers being extracted from authoritative sources using natural language queries and intent templates. It also discusses how including structured data like tables, schemas, and markup can help search engines understand and display page content in a more standardized way. While knowledge-based trust is an interesting concept, current search ranking still primarily relies on link analysis and does not consider factual correctness.
William slawski-google-patents- how-do-they-influence-searchBill Slawski
Bill Slawski presented a webinar on analyzing patents related to search engines and SEO. He discussed 12 Google patents covering topics like PageRank, Google's news ranking algorithm, analyzing images to detect brand penetration, and building user location history. The patents described Google's work in building knowledge graphs from web pages, ranking entities in search results, question answering, and determining quality visits to local businesses.
Building a semantic search system - one that can correctly parse and interpret end-user intent and return the ideal results for users’ queries - is not an easy task. It requires semantically parsing the terms, phrases, and structure within queries, disambiguating polysemous terms, correcting misspellings, expanding to conceptually synonymous or related concepts, and rewriting queries in a way that maps the correct interpretation of each end user’s query into the ideal representation of features and weights that will return the best results for that user. Not only that, but the above must often be done within the confines of a very specific domain - ripe with its own jargon and linguistic and conceptual nuances.
This talk will walk through the anatomy of a semantic search system and how each of the pieces described above fit together to deliver a final solution. We'll leverage several recently-released capabilities in Apache Solr (the Semantic Knowledge Graph, Solr Text Tagger, Statistical Phrase Identifier) and Lucidworks Fusion (query log mining, misspelling job, word2vec job, query pipelines, relevancy experiment backtesting) to show you an end-to-end working Semantic Search system that can automatically learn the nuances of any domain and deliver a substantially more relevant search experience.
Bill Slawski SEO and the New Search ResultsBill Slawski
Google's search results now include entities and concepts. Entities refer to people, places, things, and 20-30% of queries are for name entities. Google uses meta data like Freebase to build a taxonomy of entities and their relationships. This supports features like the Knowledge Graph, which provides information panels, and allows querying of nearby entities which may soon be available in search results.
The Python Cheat Sheet for the Busy MarketerHamlet Batista
What percentage of an Inbound marketer's day doesn't involve working with spreadsheets? How much of this work is time-consuming and repetitive? In this interactive session, you will learn how to manipulate Google Sheets to automate common data analysis workflows using Python, a very easy to use programming language.
How to Automatically Subcategorise Your Website Automatically With Pythonsearchsolved
The document describes a Python script that can automatically generate new subcategories for an ecommerce website based on clustering product names. It discusses:
- Using NLTK to generate n-grams from product names to cluster related products
- Filtering the n-grams to keep only those with commercial value by checking for search volume and CPC data
- Running the script on a large home improvement site to identify over 1,650 new subcategory opportunities with a total search volume of over 13 million
- Sharing the script so others can automate subcategory identification for their own sites to scale up an important SEO tactic.
Semantic search Bill Slawski DEEP SEA ConBill Slawski
1) Google uses various techniques to extract structured information like entities, relationships, and properties from unstructured text on the web and databases. This extracted information is then used to generate knowledge graphs and provide augmented responses to user queries.
2) One key technique is to identify patterns in which tuples of information are stored in databases, and then extract additional tuples by repeating the process and utilizing the identified patterns.
3) Google also extracts entities from user queries and may generate a knowledge graph to answer questions by providing information about the entities from sources like its own knowledge graph and information extracted from the web.
SEO Case Study - Hangikredi.com From 12 March to 24 September Core UpdateKoray Tugberk GUBUR
This document provides SEO metrics and comparisons for the website hangikredi.com over several time periods between April 2019 and September 2019. It shows substantial increases in key metrics like organic traffic, clicks, impressions, and average position after Google algorithm updates in May, June, July, and September. However, it also shows significant drops in these metrics during a server outage in early August. Overall the data demonstrates the site's strong SEO performance and organic growth over the 6-month period analyzed.
Whilst passage indexing may seem like a small tweak to search ranking, it is potentially much more symptomatic of the beginning of a fundamental shift in the way that search engines understand unstructured content, determine relevance in natural language, and rank efficiently and effectively.
It could also be a means of assessing overall quality of content and a means of dynamic index pruning. We will look at the landscape, and also provide some takeaways for brands and business owners looking to improve quality in unstructured content overall in this fast changing landscape.
This document discusses digital marketing strategies focused on establishing authority through valuable, timeless content. It recommends creating content such as articles, videos, and academic papers on topics that will remain relevant for years to establish expertise. Creating a steady stream of high-quality content over time builds an online presence and credibility without major risks of losses, and may lead to job offers, clients, or other opportunities. It provides examples of interactive dashboards and open-source software that gained popularity and users by continuously publishing improvements and documentation without needing to rely on things like resumes or company profiles.
A beginner's guide to machine learning for SEOs - WTSFest 2022LazarinaStoyanova
This is a guide for machine learning for beginners, tailored to the SEO industry, aimed at breaking down the challenges that hold us back from experimenting, the breakdown of machine learning's main characteristics to help us understand how to implement it a bit better, and the ways we can embed advanced technology into our daily practice.
BrightonSEO March 2021 | Dan Taylor, Image Entity TagsDan Taylor
My talk from BrightonSEO 2021; focusing on using Google's image category labels (glancing into the Knowledge Graph and Google's image annotation processes) for better topic research and content optimization.
The document discusses using Python for SEO applications such as data extraction, preparation, analysis, machine learning and deep learning. It provides an agenda and examples of using Python to solve challenging SEO problems from site migrations and traffic losses. Methods demonstrated include pulling data from Google Analytics, storing in DataFrames, regular expression grouping, and training machine learning models on page features to classify page groups and identify losses. Later sections discuss using deep learning with computer vision models to classify web pages from screenshots.
Google Lighthouse is super valuable but it only checks one page at a time.
Hamlet will show you how to get it to check all pages of a site, and how to run automated Lighthouse checks on-demand at scheduled intervals and from automated tests.
He'll also cover how to set performance budgets, how to get alerts when budgets are exceeded, and how to aggregate page reports using BigQuery and Google Data Studio.
This document discusses the value and uses of hyperlinks. It explains that hyperlinks can help understand a person's influence, interests, and peers. Hyperlinks also allow you to find influencers around a topic or identify the authors of a news site. The key takeaway is that having access to true link data and understanding how to analyze link information can provide new insights.
PubCon, Lazarina Stoy. - Machine Learning in Search: Google's ML APIs vs Open...LazarinaStoyanova
The document discusses Google's ML APIs versus OpenAI's APIs and their applications for SEO and digital marketing tasks. It provides examples of how natural language processing APIs from Google and OpenAI can be used for tasks like text analysis, sentiment analysis, document classification, translation and content transformation. While both Google and OpenAI APIs are useful, the document recommends choosing the right API for each specific task based on its capabilities and limitations in order to get the best results.
The document discusses the evolution of search engines from basic keyword search to semantic search using knowledge graphs and structured data. It provides examples of how search engines like Google are now able to provide direct answers to queries by searching structured data rather than just documents. It emphasizes the importance of representing web content as structured data using schemas like schema.org to be discoverable in semantic search and knowledge graphs.
The document discusses search engines and how they have evolved over time. It explains that early search engines ranked results based mainly on content, while modern engines also consider factors like page structure, popularity, and reputation. The document provides definitions of key search-related terms and outlines some of the main components and processes involved in how search engines work, such as crawling websites, indexing pages, and ranking results. It also discusses different types of search tools and how to choose the best one depending on your information needs.
This document discusses search engine optimization and the development of search systems. It notes that computer science has directed search system development with a focus on results relevance, while neglecting user experience. The intent is to inspire deeper engagement in designing search experiences that do more than just sell products. It also discusses challenges like the volume of online information, differences in language and perception, and the limitations of current search systems.
Five SEO Strategies Every Company Needs to MasterAct-On Software
The document discusses five SEO strategies that every company needs to master: link building, Google authorship, setting a canonical URL, using microdata/schema markup, and responsive design. It provides an overview of each strategy and tips for implementation, such as getting natural, editorial links; verifying authorship on Google+; selecting the best URL version; marking up content with structured data like events; and coding websites responsively for any device.
The document provides an overview of search engines and search engine optimization (SEO). It defines key SEO concepts like crawling, indexing, and serving results which are the main components of a search engine's architecture. It also explains on-site optimization techniques like optimizing titles, meta tags, headings, links, and images. Off-site optimization techniques discussed include link building through press releases, article submissions, social media, and directory submissions. The document emphasizes the importance of user experience, relevant content, and authority/backlinks when optimizing a site.
The document discusses how content analytics can enhance search capabilities. It provides examples of how key phrases, collocations, and statistically improbable phrases can be used to power related searches, cluster results, and enable faceted search. Beyond search, these content analytics techniques can be applied to applications like product recommendations, social media analysis, and customer experience analytics.
The document discusses issues with how computer science has directed the development of search systems, focusing on efficiency over user experience. It argues search systems have paid minimal attention to the user experience beyond results relevance and ad-matching. The goal of the plenary is to inspire designing search experiences that do more than just sell products well.
HTML5 is taking web documents to a next level, by adding semantics. HTML5 contains several semantics elements but they are not enough to annotate your content. You can tag your content with Microdata to build a better web document which can be understood by machines.
This presentation helps you understand Microdata, one of the most popular format to add semantics to your content. It will also give a brief about Google Rich Snippets.
Top 10 Must Do’s in the Ever-changing World of SEOAct-On Software
This document provides a summary of the top 10 SEO best practices that website owners should follow in today's ever-changing world of search engine optimization. It discusses writing content for audiences, using relevant keywords, optimizing site content with keywords, getting quality backlinks, custom 404 pages, canonical URLs, navigation, XML sitemaps, schema/microdata, and responsive design. The presentation provides details on how to properly implement each practice to improve search engine rankings and visibility.
The document provides guidance on initial steps for developing a search application, including validating the need for full-text search, identifying ideal search results, considering clustering results, and producing requirements and choosing a technology. Some key recommendations include sketching out ideal results for sample queries, determining how results should be ordered and presented, and considering if and how results could be clustered. Determining ideal results and clustering options can help drive specific requirements and the selection of an appropriate technology.
The document provides an overview of search engine optimization (SEO) concepts, including:
1) The importance of SEO for driving online and offline sales.
2) How search engines work and are composed of web crawlers and databases to index web pages.
3) Key factors search engines use to evaluate and rank pages, such as relevance, importance, links, and content.
4) Techniques for improving rankings, like optimizing titles, meta tags, and adding relevant and quality backlinks.
This document provides an overview of Anzo Unstructured, a natural language processing (NLP) platform from Cambridge Semantics. It discusses the core capabilities of Anzo Unstructured, including intake of various file formats, extraction of entities and relationships, and semantic analysis. It also outlines example use cases in pharma and finance. The document demonstrates the configuration and visualization of Anzo Unstructured pipelines and annotations.
How to SEO a Terrific - and Profitable - User ExperienceBrightEdge
Tune in for Portent SEO Marianne Sweeny’s January webinar: “How to SEO a Terrific – and Profitable – User Experience.” Learn how search engine algorithms are now incorporating IA, UX and content strategy, as well as methods for directing Google, Bing & Co. to perform better for your users.
The free, one-hour webinar, Sourcing with Social Media: Tips from a Corporate Sleuth, was originally held Nov. 13, 2013.
During this session, the principal in a competitive-intelligence firm will teach you how to harness social media to identify “influencers” – both regionally and nationally – in industries you cover, as well as how to contact them successfully.
YOU WILL LEARN HOW TO:
Find people who are experts on the topics related to your story
Identify sources at a regional and a national level
Get from their handle to their real name, and find them on many sites
“Listen in” on these people as they broadcast across a variety of social media
Determine their tone related to the topic – pro/against, etc.
Determine the extent of their reach; when they talk, how many people listen?
Determine the best way to reach out to them and make contact
YOUR INSTRUCTOR
Sean Campbell is a co-owner of Cascade Insights, a competitive-intelligence and market-research firm near Portland, Ore., that serves the technology industry. Before founding Cascade in 2006, he co-created and sold 3 Leaf, a technical consultancy that worked for some of the world’s largest technology companies, including Microsoft and Intel.
He teaches courses in industry analysis and competitive intelligence in Willamette University’s MBA Program.
His book, “Going Beyond Google: Gathering Internet Intelligence,” which he co-authored with Cascade co-owner Scott Swigart, was listed as a best read by the Strategic and Competitive Intelligence Professionals Association for 2009 and 2010.
View or download this Cascade Insights primer to learn more about Campbell’s company.
For more information training opportunities for business journalists, please visit http://businessjournalism.org.
Knowledge Panels, Rich Snippets and Semantic MarkupBill Slawski
My 2016 Pubcon Presentation showing how I incorporate Knowledge Panels, Entities, the Knowledge Graph API, Rich Snippets, Featured Snippets and Structured Snippets in SEO site Audits.
The document outlines critical rules for SEO success in 2014, including writing content for audiences, speaking the searchers' language by understanding their profiles and keywords, optimizing site content by including keywords throughout pages, and getting quality links through compelling content and curated directories rather than manipulative strategies.
Search and social patents for 2012 and beyondBill Slawski
The document summarizes Bill Slawski's presentation on search and social media patents from 2012 and beyond. It discusses various patents Google has acquired related to search, social media, hardware, fiber optic networks, and more. It also outlines patents for phrase-based indexing, concept-based indexing, ranking pages based on user interactions, building a knowledge graph, and developing a planet-scale distributed search index. Slawski suggests Google may expand into hardware, entertainment, internet service provision, and more based on its patent portfolio.
Similar to Semantic Content Networks - Ranking Websites on Google with Semantic SEO (20)
Traditional Foods Of Australia and The HistoryThe Aussie Way
One of the most iconic foods in Australia is the meat pie. This handheld snack or meal consists of a pastry shell filled with minced meat, most commonly beef, and savoury gravy. It is often enjoyed at sporting events or as a quick and satisfying lunch option.
Visit - https://theaussieway.com.au/category/food/
It’s been a difficult few years for Facebook Ads due to signal loss from iOS/Firefox/Chrome and the associated loss of ad targeting precision and ROAS. In this session, delve into 100% new high-impact strategies for thriving in Facebook advertising in a world without 3rd party cookies.
You'll uncover the top 7 Facebook ad hacks of 2024, all centered around first party ad signal data restoration and how to coax the new default Meta Audience+ ad targeting system to do what you want it to do, each backed by solid results and case studies. Learn how to skyrocket your landing page conversions by 20-25%, how to scale ads like never before, and target niche audiences with strategies that defy traditional norms.
Plus, gain insights into critical privacy regulations and how to maintain a full compliance therein.
NIMA2024 | Hoe Danone Trends vertaalt naar Strategie voor het versterken van ...BBPMedia1
Develop a category & retail vision to drive business impact today
Join Arnoud from Danone and Tris from Ipsos Strategy3 as they guide you on a journey through the art of leveraging trends and foresights to craft a category and retail vision. Discover the crucial need of future readiness, and understand how the future can lead to new opportunities, here and now. Be prepared to unlock the future potential of your enterprise!
CampusEdge offers a comprehensive suite of tools including financial management, human resources, student information, and more. It promotes streamlined processes and data integration.
Enhanced efficiency and productivity through automation, data centralization, and real-time insights. Improved decision-making based on accurate data and analytics.
Allows for seamless scalability to adapt to the changing needs of educational institutions. Enables consolidation of various functions into a single platform.
Initial planning and assessment of requirements. Configuration and customization of the software to fit the institution's unique structure and processes.
Comprehensive training programs for staff to ensure effective utilization. Phased deployment strategy to minimize disruptions.
Foundations in Content Optimization: How to Optimize Your Content to Fuel Organic Traffic Growth
A highly tactical introduction to best practices in optimizing your owned content to drive sustainable (and converting) organic traffic. In this Master Class, we'll cover everything from identifying the right keywords to use to how to strategically apply them to your content strategy to generate ROI.
Key Takeaways:
- A breakdown of key content-related factors Google and other Search Engines use when ranking content.
- Understand the basics of keyword research and where to begin.
- Learn how to apply those keyword learnings to optimize your content strategy and owned assets to maximize their organic visibility.
- Learn what to measure to articulate ROI and feed back into your strategy.
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
Top 7 PPC and SEO strategies to drive more traffic and conversions. Most companies already own the data, let's share the data and boost the performance of both channels.
Key Takeaways:
Why PPC and SEO teams should strategize together7 ways PPC and SEO can work together to drive even more conversions
Revolutionizing Advertising with Billion Broadcaster Standee Screen MediaVikasYadav194549
Billion Broadcaster's standee screen media is revolutionizing the advertising landscape with innovative digital screens placed in high-traffic areas such as malls, airports, and residential complexes. These dynamic screens capture attention with vibrant multimedia content, offering a visually engaging platform for advertisers.
Chemical Industry- Rashtriya Chemical Fertilizers (RCF) .pptxmayurparate000
Research on chemical industry with considering one of PSU as an example Rashtriya Chemical Fertilizers (RCF). Chemical Industry trend, strengths, weaknesses. Chemical Industry market position as well as RCF position. RCF revenue, profit, EBITDA, forecast, technology, past performance. State wise revenue of chemical industry and RCF as well
Billion Broadcaster's Frame Posters and Horizontal Lift Advertising Screens: ...VikasYadav194549
Billion Broadcaster revolutionizes advertising with its innovative combination of frame posters and horizontal lift advertising screens. The frame posters, strategically placed for maximum visibility, offer a timeless and elegant medium for brand messaging.
Digital marketing metrics every one must know in 2024Digital Scape
The "Digital Marketing Metrics" PDF by Digital Scape provides a detailed guide to essential metrics used in digital marketing. It explains the importance of metrics in tracking and optimizing marketing efforts, offering definitions, formulas, and examples for each metric. The document covers metrics such as Return on Ad Spend (ROAS), Customer Lifetime Value (CLV), Cost of Acquisition (COA), Click Through Rate (CTR), Conversion Rate (CVR), Cost Per Sale (CPS), Bounce Rate, and Lead Conversion Rate (LCR). The aim is to equip marketers with the knowledge needed to make data-driven decisions and enhance campaign performance.
Learn what is metrics, difference in metrics, different types of metrics and calculation.
Nick will present his "best of" findings from reviewing and testing more than 200 generative AI platforms over the last three years. While some programs will save you more than half the time, you can bet to save at least 50% of your time creating content if you begin using these tools.
Key Takeaways:
Attendees will walk away with a comprehensive list of generative AI programs that will make their lives easier. From blogging to video production and even AI marketing assistants, you will learn about nearly 20 AI platforms that are guaranteed to make your life easier in some way.
In today's digital age, German auto repair shops can leverage digital marketing to enhance visibility, engage customers through personalized interactions, and reach targeted demographics effectively. By optimizing online presence, managing reputation, and analyzing performance data, shops can achieve cost-efficient growth and competitive advantage in the market.
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
Let’s be honest. Improvements in search rankings and organic traffic don’t always translate into sales. Yet, you spend the majority of your SEO resources on driving rankings and traffic. What if you built your SEO content with conversion in mind from the beginning? You’d generate more organic traffic that actually converts into revenue! Join 20-year search marketing veteran as he unveils his framework for developing SEO content with conversion in mind every step of the way ‒ from keyword strategy to content development and publication.
Takeaways:
Tactics and benchmarks for SEO content that converts in 2024
Page layouts and content formats that convert organic traffic
Crafting keyword strategy and calls-to-action for conversion
In 2024, digital marketing is not just an optional strategy for businesses; it's a fundamental component of any successful marketing plan. The rapid evolution of technology and changing consumer behaviors have made digital marketing more critical than ever. Here’s why digital marketing is indispensable in 2024 and how digital marketing agency can propel your business to new heights.
EyekooTech is committed to helping businesses navigate the complexities of digital marketing. Whether you're a small startup or a large enterprise, our innovative strategies and data-driven approach can elevate your brand and connect you with your target audience.
PHP (Hypertext Preprocessor) is a widely-used open-source scripting language that is particularly suited for web development and can be embedded into HTML. It is primarily used for server-side scripting but can also be used as a general-purpose programming language. PHP is renowned for its simplicity, flexibility, and ease of integration with various databases and web servers, making it one of the most popular languages for building dynamic websites and web applications.led by Mr. Hirdesh Bharadwaj, is an ideal choice for summer training in PHP in Delhi. With Mr. Bharadwaj's extensive 15 years of experience in the field, Webs Jyoti offers top-notch training in PHP development.
One notable aspect of Webs Jyoti is its unique approach. It's not just a training institute but also functions as a development agency. This means that students not only receive theoretical knowledge but also gain practical experience by working on real-world projects.Ducat offers comprehensive PHP training with a strong focus on practical implementation and live projects. Their course covers the latest industry standards and trends, ensuring that students are well-prepared for job placements .
Webs Jyoti: This institute provides 100% practical classes, study materials written by the founder, and training on 2-3 live projects. They also offer job placement assistance and grooming sessions for job seekers.Voice Search Optimization ACIL Computer Education: Known for its industry-standard training, ACIL offers various PHP courses ranging from basic to advanced levels. They emphasize hands-on training with real-world simulations and provide job assistance and placement guarantees for certain courses.
APTRON Gurgaon: APTRON offers a well-structured PHP course with modules on basic to advanced PHP concepts, webs jyoti, and CodeIgniter. They also provide live project experience and job placement assistance.
SLA Consultants India: SLA offers an advanced PHP training program designed by experienced professionals. Their course includes live projects, instructor-led classroom sessions, and extensive practical exposure to ensure students are industry-ready .
Each of these institutes has its own strengths, so you might choose one based on specific criteria such as course content, faculty experience, or placement records.Webs Jyoti: This institute provides 100% practical classes, study materials written by the founder, and training on 2-3 live projects. They also offer job placement assistance and grooming sessions for job seekers.Webs Jyoti ensures that students receive top-notch education and support to kickstart their careers in coding and software development.One notable aspect of Webs Jyoti is its unique approach. It's not just a training institute but also functions as a development agency. This means that students not only receive theoretical knowledge but also gain practical experience by working on real-world projects. Mr. Bharadwaj's extensive 15 years experien
3. Knowledge Base
• Knowledge-base consists of the related existences, and their
dimensions.
• A knowledge-base is different from knowledge-graph.
• Knowledge-graph is the graphical version of knowledge-base.
• A knowledge base involves the facts, or misinformation with
different labels.
• A search engine defines every website as a “knowledge-base”.
• A search engine has its own “knowledge-base” too.
• So, if we have a knowledge-base, what is a semantic network?
• Semantic Network is the different variations of connections from
the same elements of the knowledge-base.
• “X” can be defined 99 different phrase variations.
• “X” can have 6 context domain connections, 2 Knowledge Domain
connections, and 9 entities from 3 different entity types.
• For all these connections, search engine can find different
answers, or propositions as labeled different IDs. Programmable search engines
Inventor Ramanathan V. Guha
Assignee Google LLC
4. Knowledge Base
• Semantic Network is the different
variations of connections from the
same elements of the knowledge-
base.
• “X” can be defined 99 different
phrase variations.
• “X” can have 6 context domain
connections, 2 Knowledge Domain
connections, and 9 entities from 3
different entity types.
• For all these connections, search
engine can find different answers,
or propositions as labeled different
IDs.
Detecting spam search results for context processed search queries
Inventor Ramanathan V. Guha
Assignee Google LLC
5. Knowledge Base
• To understand the Semantic Search
Engines, “this year”, we will focus on
the Ramanathan V. Guha.
• “Detecting spam search results for
context processed search queries”
focus on using queries to understand
the spam documents.
• The “Product Line” and “Product
Graph” are relevant here.
• A “fake product name”, or a wrong
match of “product-brand” association
can make a web document “spammy”.
• A knowledge base is necessary to
prevent it.
Detecting spam search results for context processed search queries
Inventor Ramanathan V. Guha
Current Assignee Google LLC
6. Knowledge Base
• This one focuses on “aggregating
context”, rather than processing it.
• It tries to use a specific mechanism to
define the knowledge of facts.
• “Query Definitions, Aspects and
Rephrasification” are relevant here.
• A knowledge base can be used to
understand overall context of a specific
entity.
• A search engine can filter pages based
on their “context hints”, like design,
structured data, relational layout
elements, or currencies, statistics,
measurement units, and brands,
products, or other types of concepts.
Aggregating context data for programmable search engines
Inventor Ramanathan V. Guha
Assignee Google LLC
7. Knowledge Base
• A search engine, naturally, can
classify the search results.
• The thing here is that Ramanathan V.
Guha focuses on a knowledge-base
like “representation of things” to
classify the documents.
• There are many methods for
document classification.
• But, it categorizes query, if the
ranking is good, it assumes that the
document should be labeled with a
category.
• A knowledge base is necessary to
classify the query, and query
classification is necessary for
document classification.
Classifying search results
Inventor Ramanathan V. Guha
Assignee Google LLC
8. Knowledge Base
• Search Result Ranking Based on Trust
focuses on “factuality” and “accuracy” of a
source.
• It tries to rank documents based on the
comprehensiveness.
• Not a surprise to see “cancer” as an
example on the patent.
• It explains the trust signals.
• It focuses on “vertical knowledge domain
websites” for further trust signal
information.
• He tries to use words around the links for
labeling them.
• Negative reviews are thought to be used
as well.
Search result ranking based on trust
Inventor Ramanathan V. GuhaCurrent
Assignee Google LLC
9. Knowledge Base
• “Query Identification” is different from
“Query Aspects” and “Query Definitions”.
• An early example of the “query
categorization” and “query-category
map”.
• It uses the “query-page” matching from
the “query logs” which signals the
prominence of historical data.
• The “QP Tuples” are the “Query-Page”
Tuples.
• It uses “query logs”, thus, if you are not in
the query logs despite your quality, you
can be overridden.
• Knowledge Base Relevancy: It has to
categorize the things on the queries and
documents to increase the precision.
Ramanathan V. Guha, Shivakumar Venkataraman, Vineet GuptaGokay,
Baris Gultekin, Pradnya Karbhari, Abhinav Jalan
Query identification and association
Inventor Assignee Google LLC
10. Knowledge Base
• Generating specialized
search results just for a
pattern of queries.
• I focused on “question-
query-document”
templates last year.
• So, I will skip it.
• But, it uses “knowledge
base” for understanding
the data representation.
Generating specialized search results in response to patterned queries
Inventor Ramanathan V. Guha
Current Assignee Google LLC
11. Knowledge Base
• It is a good feeling to follow Mr.
Ramanathan.
• Because, he tries to find answers for
the important questions.
• “Corroboration of Web Answers”.
• Co-identification of objects across
heterogeneous information sources is
prominent, because it provides a
“cross-check” for the facts.
• The ranking search results based on
trust, and “co-identification of
objects” should be handled together.
• Query-augmentation is processed in
this patent by “replacing predicates”.
• Predicate is the heaviest term in the
query.
• Thus, “pattern matching” is relevant
here too.
Heuristic co-identification of objects across heterogeneous information
sources
Inventor Ramanathan V. Guha
Current Assignee Google LLC
12. Knowledge Base
• Providing search results is an
important patent for the
basics.
• It explains the “entity types”,
attributes, and HTML Code
connections.
• It focuses on the “templates”
for specific situations.
• The examples are for
“restaurants”.
• Thus, in the next slides,
remember the concept,
“frame script”.
Providing search results
Inventor Ramanathan V. Guha
Current Assignee Google LLC
13. Knowledge Base
• Most of the basic Google
functions are processed by
Ramanathan V. Guha.
• This is important, because it
makes a differentiation
between “worthy result”,
and “regular result”.
• A worthy result is a signal for
the quality.
• Even, Google Alert, today,
can be used to find some
“worthy” results.
Customized web summaries and alerts based on custom search
engines
Inventor Ramanathan V. Guha
Current Assignee Google LLC
14. Who is Ramanathan V. Guha? Why do we
focus on him?
• He is important.
• Creator of Schema.org.
• Creator of RSS.
• Creator of RDF.
• He is a “Google Fellow”
means “distinguished
engineer”.
• He has been cited in many
books.
15. Who is Ramanathan V. Guha? Why do we
focus on him?
• Semantic Web, Making
Sense, and other specific
organizations or event
cited him regularly.
• He mainly focuses on
“Contexts”.
16. Who is Ramanathan V. Guha? Why do we
focus on him?
• He has written a book.
• He published many speeches
about Google and Open Web.
• At the right, you see his book,
“Contexts – A formalization
and some applications”.
• And a screenshot from “Light
at the end” presentation.
• He explains why the “net” can’t
be owned.
• It is good to hear it from a
Google Fellow.
17. Who is Ramanathan V. Guha? Why do we
focus on him?
• DataCommons is important
from his speech.
• DataCommons is a
Knowledge Base.
• Google integrated the
DataCommons into their
internal search system.
• They defined the project as
below.
18. Who is Ramanathan V. Guha? Why do we
focus on him?
• Since, he was able to organize four
different search engines, it is a quite
big success.
• But, the main prominence of
Ramanathan is that he thought using
a “knowledge base” for every search
engine problem.
• Then, he tried to solve problem.
• We can mention Justin Boyan and
Data-highlighter tool, or Machine
Learning/Rule-based System
Transition on Google, as well.
19. Who is Ramanathan V. Guha? Why do we
focus on him?
• These are some of the entity types,
and their possible relation types in a
structured data sample.
• Categories for occurrence, or
categories by domains represent how
these things help search engines to
structure their own “semantic
networks” and knowledge bases.
20. Who is Ramanathan V. Guha? Why do we
focus on him?
• Ramanathan also worked with the
web masters.
• He visualized the structured data as a
form of “semantic network”.
• Thus, from a Knowledge Base
Concept to the Relational Databases,
he has a prominent place.
• He created some guides for SEOs too.
21. Who is Ramanathan V. Guha? Why do we
focus on him?
• Vocabulary represents the richness
of the content in terms of unique
words.
• But, Ramanathan uses it for
different topic grasping algorithms.
• On his talk, during 2014, he
mentioned Scholarly Works,
Comics, Serials, and Sports.
• After that, Schema.org started to
launch new SD Types.
22. Who is Ramanathan V. Guha? Why do we
focus on him?
• Vocabulary represents the richness
of the content in terms of unique
words.
• But, Ramanathan uses it for
different topic grasping algorithms.
• On his talk, during 2014, he
mentioned Scholarly Works,
Comics, Serials, and Sports.
• After that, Schema.org started to
launch new SD Types.
23. Who is Ramanathan V. Guha? Why do we
focus on him?
Aggregated Knowledge Graph => Does it sound similar from the patents?
24. Who is Ramanathan V. Guha? Why do we
focus on him?
Aggregated Knowledge Graph => Does it sound similar from the patents?
25. Knowledge Base
• This is another prominent
sample that I preferred to put
with some common inventors.
• “Alternatives of an answer, and
a question” represent the
“slight differences on wording”.
• And, it requires to have a
“knowledge base”, since it
focuses on Information
Extraction.
• Understand the difference
between “Occurrence Tracking
Search Engine”, and
“Perception based Search
Engine”.
Determining question and answer alternatives
Inventor David Smith, Engin Cinar Sahin, George Andrei Mihaila
Current Assignee Google LLC
26. Knowledge Base
• From the same fellows,
you have a “Context”.
• They cite the Ramanathan
in the invention.
• They mention the “Topics”
and “Movie/Book”
intersection of the Harry
Potter. Determining question and answer alternatives
Inventor David Smith, Engin Cinar Sahin, George Andrei Mihaila
Current Assignee Google LLC
27. Knowledge-based Trust
• Knowledge-based Trust
involves a PageRank
balancing effect via
Accurate, Unique and
Comprehensive
Information on sources.
• “Ranking search results
with Trust” via a
Knowledge Based evolved
into “Knowledge-based
Trust” in the same year.
Explained Before
28. Knowledge-based Trust
• Knowledge-based Trust
involves a PageRank
balancing effect via
Accurate, Unique and
Comprehensive
Information on sources.
• A single “broken sentence”
can decrease the
granularity of the semantic
network that will be
extracted.
Explained Before
29. Knowledge-based Trust
• “Extractor”, or
“Constructor”…
• It is a representation of
the trust-measurement
framework.
• The “Directed Graph”
model explains how the
“value pairs” are being
extracted.
Explained Before
30. Knowledge-based Trust
• “Source Accuracy”
represent the trust that a
search engine can give for
visibility.
• The algorithm design
simply focus on two main
steps.
• Extracting the triples.
• Comparing them to the
others, especially the ones
in Knowledge Base.
Explained Before
31. Knowledge-based Trust
• An example of the “Triple
Correctnes Prediction”.
• “Freebase Triple” is
important.
• Freebase is bought by
Google to forge the
Knowledge Graph.
• The “triple” from
Knowledge Base is
compared to the triples
from the SERP.
Explained Before
32. Knowledge-based Trust
• Seed Sources and Tail
Sources.
• Remember the RankMerge.
• Remember the Topic-
sensitive PageRank.
• KBT is not an alternative of
PageRank.
• It is a Hybrid Search Engine
from Hypertextual to
Semantic.
Explained Before
33. Semantic Networks
• Semantic Networks are the knowledge
representations with the relational
databases.
• A knowledge base can have multiple
semantic networks from the same
knowledge base dimensions.
• All the knowledge representation
schemes should be human-
understandable.
• Semantic Networks and Frame
Representations are connected to each
other.
34. Semantic Networks
• Knowledge Bases represent the Knowledge.
• Thus, Knowledge Representation is a central
term.
• Logical Representation is “difficult for
common sense”.
• Logical Representation has uncertainty, and it
has time constraints, along with beliefs.
• Logic representations require “reasoning”.
Basically, it is “TrueVTrue = True”.
• These rules are not good for extracting the
facts, and storing them in a relational
database.
Entity ID of m076hq
35. Semantic Networks
• Semantic Networks represent factual
knowledge in classes of objects and
their properties.
• Declarative knowledge
representations, and their relations
are stored.
• Static representations (knowledge that
stays same) are more common for
semantic networks.
• Semantic Networks imitate human
memory.
• Structured Object Representation
include properties, nodes and edges
within Directed Graphs.
• Thus, it is called “Association Graph”. site:https://artsandculture.google.com/entity/
36. Semantic Networks
• General Networks shouldn’t be considered as Semantic Network.
• Every “arch”, knowledge representation has to have a relation type.
This is a general network.
38. Semantic Content Networks
• Lexical Parts of a Semantic Content
Network:
• Nodes – objects from different classes, or
individuals.
• Links – relationships between the objects.
• Labels – nodes and links, together.
• Procedural Part:
• Constructors
• Destructors
• Writers
• Readers
Structural Part has the “links and nodes”.
Semantic part has the “associated meanings”
based on the knowledge domain.
40. Semantic Content Networks
• Relation Type Examples: IS/A Hierarchy Is/A relation type is relevant to the
Taxonomy, Lexical Relations,
Semantic-Dependency Tree, and
Augmented Information Retrieval.
All these are relevant to Set Theory.
41. Semantic Content Networks
• Relation Type Examples: IS/Part Hierarchy Is/A relation type is relevant to the
Taxonomy, Lexical Relations,
Semantic-Dependency Tree, and
Augmented Information Retrieval.
All these are relevant to Set Theory.
Lexical Relations help an SEO to focus on
meaning, rather than query search demand
(keyword volume.)
42. Semantic Networks
1. Hypernym: The general word of another word. For example,
the word color is the hypernym of red, blue, yellow.
2. Hyponym: The specific word of another general word. For
example, crimson, violet, lavender are the hyponyms of
purple. And, purple is the hyponym of the color.
3. Antonym: The opposite of another word. For example, the big
is the antonym of the small, and the early is the antonym of
the late.
4. Synonym: The replacement of another word without changing
the meaning. For example, huge is the synonym of big, and
initial is the synonym of early.
5. Holonym: The whole of a part. For example, the table is the
holonym of the table leg.
6. Meronym: The part of a entire. For example, a feather is the
meronym of a bird.
7. Polysemy: The word with different meanings such as love, as
a verb, and as a noun.
8. Homonymy: The word with different meanings accidentally,
such as bear as an animal and verb, or bank as a river or
financial organization.
43. Semantic Networks
Inheritance helps search engines to Extract Information
by augmenting.
Semantic Dependency Tree is a representation of
inheritance.
Source: Ryan J. Urbanowicz.
44. Semantic Networks
Every arch defines a binary relation.
For the sentence, “John’s mother has
sued her husband at the age of 42.”
The relations here are “predicate”, “age”,
and “marriage status”.
Source: Ryan J. Urbanowicz.
45. Semantic Networks
Arch Types:
X is a Y. => Individual to Concept => X is a
tiger.
X is a kind of Y. => Concept to Concept =>
X is a wild kind of animal.
X is related to Y. => Individual to Individual
=> X Tiger leads the pack of Y Tigers.
Source: Ryan J. Urbanowicz.
46. Semantic Networks
Reification:
Relationships can be turned into a frame.
A frame can turn non-binary relationships
into an object.
A giver
A recipient
An object
Source: Ryan J. Urbanowicz.
Learn, Semantic Role Labels.
52. Semantic Networks
Partial Ordering – How the semantic
network should be shaped?
Source: Ryan J. Urbanowicz.
Learn, Semantic Role Labels.
53. Semantic Networks
An example: From Hyper-structured to
Structured Data:
Source: Ryan J. Urbanowicz.
Learn, Semantic Role Labels.
54. Semantic Networks
An example: From Hyper-structured to
Structured Data:
Source: Ryan J. Urbanowicz.
Learn, Semantic Similarity.
55. Semantic Networks
An example: From Hyper-structured to Structured Data:
Source: Ryan J. Urbanowicz.
Learn, Semantic Role Labels.
56. Semantic Networks
An example: From Hyper-structured to Structured Data:
Source: Ryan J. Urbanowicz.
Learn, Semantic Role Labels.
57. Semantic Networks
Unified Medical Language System is an Example of Semantic Network.
Source: Ryan J. Urbanowicz.
Learn, Semantic Role Labels.
58. Semantic Networks
A website can make the semantic network of the search engine richer and more accurate.
It can be the authority of truth, not just the topic.
61. Semantic Networks
Frames: Representation of Stereotypes.
Frames have inheritance.
Frames can have different data structures.
Frames are the typical semantic networks
for the same types of things.
Frames are useful for training AI.
At the right, you see a Frame.
Every class, and sub-class have specific
attributes.
All the relation types are clear.
In this case, Knowledge Bases are more
similar to the Frames.
Frames have “slots”, and “filters to be filled
in.
Values can be static knowledge.
A “daemon” can exceed the threshold and
make the knowledge “dynamic”.
63. Semantic Networks
Every frame slot can have a slot.
Every slot can have a “value”, “default”, “range”, “if-
added”, and “if-needed” property.
Frames help an SEO to create specific types of
document templates for specific types of query
templates.
Facets can include different types of semantic
networks.
• Represents the “default”.
• Every facet here can be entirely different semantic
network.
• A central entity will reflect the core of the specific
entity’s identity.
64. Semantic Networks
• Situational Frame: Valid only for a
situation.
• Action Frame: Actions for the situation.
• Combination Frame: Combination of
situational and action frames.
• General Frame: Hierarchy included
class models.
• These frames are for typical situations,
the unique or rare entities might not be
put into a frame.
• At the right side, you will see another
frame, but it is only for the restaurants.
• In the next slide, you will see an
example of FrameNet.
65. Semantic Networks
• “Jack went to a restaurant. He decided to order steak. He sat there and
waited for a long time. Finally, he got angry and left.
• “What was Jack waiting for?”
• “Why did he get angry?”
• A Frame Script can shape a knowledge base for different situations.
• Same script can extract all the information for the similar situations.
• Remember the “Restaurant” sample from Ramanathan V. Guha.
66. Semantic Networks
• Concept Maps: To create a Semantic
Network, a concept map is necessary.
• Every existence is connected to at least one
concept.
• “Eagle” can be connected to “flying”, or
“hunting” concept.
67. Semantic Networks
• Topic Maps: It sounds similar?
• It reflects any kind of concept, existing
things, or hypergraphs for associations,
occurrences and real-world things.
• A topic map connects concepts to the each
other along with the real world entities. A
topic map can be extracted from a content
network, and turned into a semantic
network.
• This brings us to the “Concept Graphs”.
• A concept graph is again for patterns.
• At the right side, you will see an example of
concept graph.
68. Semantic Networks
• A FrameNet is different than a frame.
• A FrameNet includes the semantic role labels but
in the form of more detailed patterns.
• For example, the sentence “The Unit found two
men hiding in the trunk of a car…” includes a
“sought entity”, “perceiver” and “location”.
• If we use the sentence like “The Unit found three
thiefs that are hiding in the storage”, relations are
same.
• It is similar to the “Frame Scripts”.
• But, FrameNet is actually a programming output to
help machines to read the semantic knowledge.
69. Semantic Content Networks
• Semantic Content Networks are the next
steps that come after the Topical Map.
• A Semantic Content Networks contains a
Context Vector, Context Hierarchy, Structure
and Connection.
• A Semantic Content Network is the textual
and visual form of a semantic network.
• A semantic content network can help a search
engine to change the truth in the knowledge
base.
• A search engine shapes the SERPs based on
the knowledge-base.
• A semantic content network can have a high-
level of knowledge-based trust, and search
engine can start to shape the SERPs network
based on the specific source.
• Semantic content networks can’t be imitated.
• A semantic content network can be beaten by
another one.
• A better context vector, hierarchy, connection,
and structure are must.