Breaking the Google Addiction

The document discusses semantic search capabilities at Yahoo. It describes how Yahoo has developed techniques to extract structured data and metadata from webpages to power enhanced search results. This includes information extraction, data fusion, and curating knowledge in a graph. Yahoo uses this knowledge to better understand search queries and present relevant entities and attributes in results. Semantic search remains an active area of research.

The document discusses evaluating online sources and provides examples of search techniques using Google and Bing to find information on topics like Martin Luther King Jr. and conversions between measurements. It also covers evaluating the credibility of websites and using subject specific search engines or limiting searches to particular domains or file types.

This document provides an overview of conducting effective internet research. It discusses web browsers, search engines, refining searches using Boolean operators and field searching, and evaluating online sources. Key topics include using search engines to access online information, employing techniques like phrase searching and site: commands to focus results, and assessing credibility of sources using the CARS method of evaluating currency, accuracy, reasonableness, and support. The goal is to help readers move from ignorance to knowledge by teaching them how to efficiently hunt for and critically examine information on the internet.

This document provides an overview of Boolean logic searching and how it applies to internet searches. It discusses the three Boolean operators - AND, OR, and NOT - and how they combine search terms using set logic and Venn diagrams. While few search engines support full Boolean searches with operators, most use implied Boolean logic where spaces mean AND and symbols like "+" and "-" stand in for operators. Many also provide search forms that allow choosing logic (e.g. "this" or "all" terms) without using operators. The document provides examples of constructing searches using the different methods.

Learn how to do effective keyword research for your affiliate marketing strategy with this info-packed lesson. For the full lesson, visit: http://www.affilorama.com/market-research/doing-keyword-research And for other helpful lessons to further your affiliate marketing success, go to: http://www.affilorama.com/lessons

The document discusses various online search and research skills, including how search engines work by using algorithms to provide relevant sources based on keywords. It also covers understanding search operators like AND, OR and NOT to refine searches, as well as using advanced search options and evaluating the authority, accuracy, timeliness and relevance of sources found online. The document provides examples to help readers improve their online research abilities.

This document summarizes a presentation on data feed SEO. It discusses how data feeds are not unique content, the potential "affiliate penalty", and generating unique content matrices. It also provides a case study on automatically generating product descriptions and discusses different types of user generated content. Finally, it lists various data sources and APIs that can be used to build quick SEO tools and provides some resources on site architecture and leveraging outsourced labor.

Semantic search uses language processing to analyze the meaning of content and search queries to return more relevant results. It involves classifying content using taxonomies, identifying named entities, extracting relationships between entities, and matching these based on meaning. Implementing semantic search requires preparing content through classification, metadata, and information architecture, as well as technologies for semantic tagging, entity extraction, triple stores, and integrating these capabilities with existing search and content management systems.

Boolean searching is a technique that uses Boolean operators like AND, OR and NOT to conduct more precise online searches. It was named after mathematician George Boole who developed a system of logic for better search results. AND narrows results by requiring all search terms, OR expands them by including either term, and NOT limits by excluding specific terms. Boolean logic allows combining terms and nesting search statements for optimal results, though implementation varies across search systems.

This document provides tips for advanced keyword searching techniques. It discusses using quotation marks for phrases, Boolean operators like AND and OR, truncation symbols, and limiting searches to specific domains or sources. The document also explains how these techniques can be applied in both Google and library database searches to yield more targeted results.

What is the current status quo of the Semantic Web as first mentioned by Tim Berners Lee in 2001? Not only 10 blue links can drive you traffic anymore, Google has added many so called Knowlegde cards and panels to answer the specific informational need of their users. Sounds complicated, but it isn’t. If you ask for information, Google will try to answer it within the result pages. I'll share my research from a theoretical point of view through exploring patents and papers, and actual testing cases in the live indices of Google. Getting your site listed as the source of an Answer Card can result in an increase of CTR as much as 16%. How to get listed? Come join my session and I'll shine some light on the factors that come into play when optimizing for Google's Knowledge graph.

Mike King examines the state of the SEO industry and talks through knowing information retrieval will help improve our understanding of Google. This talk debuted at MozCon

Trey Grainger discussed how search has evolved from basic keyword search to more advanced capabilities like understanding user intent, providing personalized search, and augmented search using machine learning and AI. He explained the concept of "reflected intelligence" where user interactions with search results are used to continuously improve search quality through techniques like signals boosting, learning to rank, and collaborative filtering. Grainger also outlined how knowledge graphs can help power semantic search by modeling relationships between entities to better understand queries and provide more relevant results.

1. The document discusses analyzing search logs to understand how users interact with search engines and how to improve search and site organization based on these insights. 2. Key insights that can be gained from search log analysis include popular search terms, queries that return no results, frequently clicked search results, and patterns in search behavior over time and between user groups. 3. Information from search log analysis can be used to improve search features, results presentation, site navigation, metadata, and content.

Presented by Lou Rosenfeld and Rich Wiggins at the 2007 ASIS&T IA Summit, Las Vegas, Nevada, USA, March 24, 2007.

I was invited to speak at OMCap Berlin 2014 about the close relationship between search engines and user experience with prescriptive guidance to gain higher rankings and more conversions.

Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form. <p> As the volume of Semantic Web data grows software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to perform their tasks. We will discuss the general issues underlying the indexing and retrieval of RDF based information and describe Swoogle, a crawler based search engine whose index contains information on over a million RDF documents. <p> We will illustrate its use in several Semantic Web related research projects at UMBC including a distributed platform for constructing end-to-end use cases that demonstrate the semantic web’s utility for integrating scientific data. We describe ELVIS (the Ecosystem Location Visualization and Information System), a suite of tools for constructing food webs for a given location, and Triple Shop, a SPARQL query interface which searches the Semantic Web for data relevant to a given query ELVIS functionality is exposed as a collection of web services, and all input and output data is expressed in OWL, thereby enabling its integration with Triple Shop and other semantic web resources.

The document discusses enterprise search and options for implementing search within Oracle WebCenter Content. It provides an agenda that includes an introduction to enterprise search, considerations for enterprise search, and a demo of Fishbowl Solutions' GSA Connector Version 2.0. The GSA Connector allows indexing content from Oracle WebCenter Content into the Google Search Appliance to provide search across WebCenter repositories and other sources.

This is a presentation on Big Data graph Clustering with Laurence O'Toole, founder of Analytics SEO at the Digital Marketing Show, November 2015

The document discusses strategies for dealing with messy and imperfect data when creating websites. It describes how the Chembio Hub uses techniques like automatically tagging untagged data using significant terms analysis in Elasticsearch and creating database views to normalize different schemas. Filling gaps in tagging by querying search engines and considering flat file databases are also proposed. The goal is to enable sharing of chemical and biological research data across Oxford departments in a sustainable way without requiring perfect data formats or extensive curation.

This research proposal outlines a methodology for evaluating an organization's use of structured data and metadata to improve the findability of images on the web. The methodology involves assessing an organization's file naming conventions, use of alt text, embedded metadata, schema.org markup and more. It also involves analyzing search engine results and structured data validation tools. The goal is to establish a baseline of an organization's current practices and identify areas for improvement to maintain online relevancy. The expected outcomes include a benchmark for an organization's structured data maturity and a roadmap for improving image findability on and off their website.

The document discusses the importance of quality over quantity in federated search results. It argues that while features are important, quality of search results should be the top priority for customers of federated search technology. The document outlines several factors that directly impact the quality of search results, such as choosing high quality sources, ensuring connectors are carefully crafted to retrieve relevant documents, and using ranking methods that surface the most relevant results. Federated search is described as the right solution for research organizations seeking to streamline knowledge discovery.

SearchLand is a talk that provides an overview of how web search engines work for beginners. It discusses that search engines do not actually search the web directly, but rather create an index of crawled web pages. The talk outlines the basic architecture of search engines, including crawling, indexing, and ranking documents. It also discusses challenges in measuring search quality and different evaluation approaches between information retrieval research and actual search engine practices. The talk concludes by noting that improving search quality requires continuous measurement and analysis.

The document summarizes recent developments in semantic search engines. It discusses the principles of the semantic web and languages like RDF, RDFS, and OWL. It then summarizes the Falcons semantic search engine and how it indexes and searches semantic web objects. It also discusses efforts by Google, Yahoo, and Microsoft to incorporate semantic data through rich snippets, SearchMonkey, and Schema.org. Finally, it introduces the Kngine search engine as a new promising engine that aims to go beyond existing sources by indexing structured information on the web.