The document discusses several options for publishing data on the Semantic Web. It describes Linked Data as the preferred approach, which involves using URIs to identify things and including links between related data to improve discovery. It also outlines publishing metadata in HTML documents using standards like RDFa and Microdata, as well as exposing SPARQL endpoints and data feeds.
Year of the Monkey: Lessons from the first year of SearchMonkey
This document discusses publishing content on the Semantic Web. It introduces basic concepts of RDF and the Semantic Web like resources, literals, and triples. It then describes six main ways to publish RDF data on the web: 1) standalone RDF documents, 2) metadata inside webpages using techniques like RDFa, 3) SPARQL endpoints, 4) feeds, 5) XSLT transformations, and 6) automatic markup tools. Finally, it briefly discusses the history of embedding metadata in HTML and examples of metadata standards.
The document discusses different options for publishing metadata on the Semantic Web, including standalone RDF documents, embedding metadata in web pages using techniques like RDFa, providing SPARQL endpoints, publishing feeds, and using automated tools. It provides examples and discusses the advantages of each approach. A brief history of metadata publishing efforts is also presented, from early initiatives like HTML meta tags and SHOE to current standards like RDFa and microformats.
Developing Linked Data and Semantic Web-based Applications (Expotec 2015)
The document discusses developing Linked Data and Semantic Web applications. It begins with key concepts related to Linked Data, the Semantic Web, and applications. It then describes two key steps in developing such applications: publishing data as Linked Data and consuming Linked Data to build applications. Examples are provided of extracting, enriching, and linking different datasets to build a real estate recommendation application that performs semantic searches over the integrated data. Ontologies are created and reused to represent the domains and support interoperability. The document emphasizes integrating the data and software engineering perspectives in developing Semantic Web applications.
This document discusses the need for named graphs in RDF to represent contextual information like provenance and source of RDF data. It proposes extensions to the RDF/XML syntax to associate RDF descriptions and statements with named graphs. This allows modeling things like different hypotheses, temporal aspects, points of view, and distributed storage in a way that is currently not possible without named graphs in the RDF model.
This document introduces linked data and discusses how publishing data as linked RDF triples on the web allows for a global linked database. It explains that linked data uses HTTP URIs to identify things and links data from different sources to be queried using SPARQL. Publishing linked data provides benefits like being able to integrate and discover related data on the web. Tools are available to convert existing data or publish new data as linked open data.
NISO/DCMI Webinar: Schema.org and Linked Data: Complementary Approaches to Pu...
The document discusses a webinar presented by NISO and DCMI on Schema.org and Linked Data. The webinar provides an overview of Schema.org and Linked Data, examines the advantages and challenges of using RDF and Linked Data, looks at Schema.org in more detail, and discusses how Schema.org and Linked Data can be combined. The goals of the webinar are to illustrate the different design choices for identifying entities and describing structured data, integrating vocabularies, and incentives for publishing accurate data, as well as to help guide adoption of Schema.org and Linked Data approaches.
This document provides an overview of describing web resources using the Resource Description Framework (RDF). It discusses the basic concepts of RDF including resources, properties, statements, and the XML syntax used to represent them. It also covers RDF Schema which adds vocabulary for describing properties and classes of RDF resources, and provides a critical view of some aspects of RDF such as its use of binary predicates and treatment of properties.
This presentation was provided by Ashley Clark, Northeastern University, during a NISO Virtual Conference on the topic of data curation, held on Wednesday, August 31, 2016
This document provides an agenda and schedule for Monday's Linked Open Data class. The day includes introductions, sessions on introducing linked data and exploring use cases, breaks for discussion, and a concluding session on kicking off participant projects. Evening events include an outside lecture and networking social for graduate students.
The document discusses using linked open data and linked data principles for libraries. It covers key concepts like URIs, RDF triples, ontologies and vocabularies. It then outlines options for libraries to both consume and publish linked data, such as enriching existing catalog data by linking to external sources, creating new information aggregates, and publishing library holdings and metadata as linked open data. Challenges include a lack of common identifiers, FRBRization of existing data, and the need for content curation and new technical systems to fully realize the benefits of linked open data for libraries.
This document discusses different ways that humans can consume linked data on the web. It describes HTML browsers that can render RDFa embedded in web pages. It also discusses linked data browsers that allow users to view RDF triples in a tabular format. Faceted browsers provide a way to explore linked data through interactive facets. On-the-fly mashups dynamically combine data from multiple sources. The document encourages the development of new and innovative interfaces for interacting with linked data.
NISO/DCMI Webinar: Cooperative Authority Control: The Virtual International A...
Libraries around the world have a long tradition of maintaining authority files to assure the consistent presentation and indexing of names. As library authority files have become available online, the authority data has become accessible -- and many have been published as Linked Open Data (LOD) -- but names in one library authority file typically had no link to corresponding records for persons and organizations in other library authority files. After a successful experiment in matching the Library of Congress/NACO authority file with the German National Library's authority file, an online system called the Virtual International Authority File was developed to facilitate sharing by ingesting, matching, and displaying the relations between records in multiple authority files.
The Virtual International Authority File (VIAF) has grown from three source files in 2007 to more than two dozen files today. The system harvests authority records, enhances them with bibliographic information and brings them together into clusters when it is confident the records describe the same identity. Although the most visible part of VIAF is a HTML interface, the API beneath it supports a linked data view of VIAF with URIs representing the identities themselves, not just URIs for the clusters. It supports names for person, corporations, geographic entities, works, and expressions. With English, French, German, Spanish interfaces (and a Japanese in process), the system is used around the world, with over a million queries per day.
Speaker
Thomas Hickey is Chief Scientist at OCLC where he helped found OCLC Research. Current interests include metadata creation and editing systems, authority control, parallel systems for bibliographic processing, and information retrieval and display. In addition to implementing VIAF, his group looks into exploring Web access to metadata, identification of FRBR works and expressions in WorldCat, the algorithmic creation of authorities, and the characterization of collections. He has an undergraduate degree in Physics and a Ph.D. in Library and Information Science.
The document discusses using picture-driven computing as an assistive technology to improve accessibility. It describes using visual images instead of text inputs to allow indirect access for users with disabilities. The Sikuli platform is highlighted as a way to automate tasks by programming screenshots of graphical interfaces. Future work areas include more research on picture-driven approaches, evaluating Sikuli, and developing additional assistive technology scripts.
Come join us downstairs at the Proof Brewing Company for another excellent evening of inspiration! Rachael Moore, the front-end lead on the new remax.com, has kindly agreed to share the story and take a peek under the hood of this massive (and really nicely done) site. Among the likely topics of discussion are: Object-oriented CSS, CSS preprocessors, JavaScript frameworks, and the ins and outs of working with a distributed team.
Distributing UI Libraries: in a post Web-Component world
Modern UI Component libraries influenced by Web Components will rely more heavily on package management than last generation UI Frameworks. In this 15 minute session we'll introduce package management for web graphical user interfaces, talk about the best package contents for a UI component, and some tactics for making smooth releases.
For video, skip to 57 minutes, 13 seconds (57:13), http://www.youtube.com/watch?v=BhP86d5IiM4&t=57m13s
Operations Tooling for UI - DevOps for CSS Developers
Linting, testing, distribution, deployment--and all the associated tooling and tracking.
The learning curve on all this stuff can be pretty harsh for web UI developers. All the vocabulary. All the options. All the extra code. What does it all mean? And what, if anything, does your project need?
In this talk I discuss web user interfaces at scale and the benefits of bringing more of DevOps culture to the UI space, combining introductory material with practical applications.
Talk presented at CSSConf in June 2015.
This tutorial explains the Data Web vision, some preliminary standards and technologies as well as some tools and technological building blocks developed by AKSW research group from Universität Leipzig.
RDF is a general method to decompose knowledge into small pieces, with some rules about the semantics or meaning of those pieces. The point is to have a method so simple that it can express any fact, and yet so structured that computer applications can do useful things with knowledge expressed in RDF.
The document discusses several options for publishing data on the Semantic Web. It describes Linked Data as the preferred approach, which involves using URIs to identify things and including links between related data to improve discovery. It also outlines publishing metadata in HTML documents using standards like RDFa and Microdata, as well as exposing SPARQL endpoints and data feeds.
Year of the Monkey: Lessons from the first year of SearchMonkeyPeter Mika
This document discusses publishing content on the Semantic Web. It introduces basic concepts of RDF and the Semantic Web like resources, literals, and triples. It then describes six main ways to publish RDF data on the web: 1) standalone RDF documents, 2) metadata inside webpages using techniques like RDFa, 3) SPARQL endpoints, 4) feeds, 5) XSLT transformations, and 6) automatic markup tools. Finally, it briefly discusses the history of embedding metadata in HTML and examples of metadata standards.
The document discusses different options for publishing metadata on the Semantic Web, including standalone RDF documents, embedding metadata in web pages using techniques like RDFa, providing SPARQL endpoints, publishing feeds, and using automated tools. It provides examples and discusses the advantages of each approach. A brief history of metadata publishing efforts is also presented, from early initiatives like HTML meta tags and SHOE to current standards like RDFa and microformats.
Developing Linked Data and Semantic Web-based Applications (Expotec 2015)Ig Bittencourt
The document discusses developing Linked Data and Semantic Web applications. It begins with key concepts related to Linked Data, the Semantic Web, and applications. It then describes two key steps in developing such applications: publishing data as Linked Data and consuming Linked Data to build applications. Examples are provided of extracting, enriching, and linking different datasets to build a real estate recommendation application that performs semantic searches over the integrated data. Ontologies are created and reused to represent the domains and support interoperability. The document emphasizes integrating the data and software engineering perspectives in developing Semantic Web applications.
This document discusses the need for named graphs in RDF to represent contextual information like provenance and source of RDF data. It proposes extensions to the RDF/XML syntax to associate RDF descriptions and statements with named graphs. This allows modeling things like different hypotheses, temporal aspects, points of view, and distributed storage in a way that is currently not possible without named graphs in the RDF model.
This document introduces linked data and discusses how publishing data as linked RDF triples on the web allows for a global linked database. It explains that linked data uses HTTP URIs to identify things and links data from different sources to be queried using SPARQL. Publishing linked data provides benefits like being able to integrate and discover related data on the web. Tools are available to convert existing data or publish new data as linked open data.
The document discusses a webinar presented by NISO and DCMI on Schema.org and Linked Data. The webinar provides an overview of Schema.org and Linked Data, examines the advantages and challenges of using RDF and Linked Data, looks at Schema.org in more detail, and discusses how Schema.org and Linked Data can be combined. The goals of the webinar are to illustrate the different design choices for identifying entities and describing structured data, integrating vocabularies, and incentives for publishing accurate data, as well as to help guide adoption of Schema.org and Linked Data approaches.
This document provides an overview of describing web resources using the Resource Description Framework (RDF). It discusses the basic concepts of RDF including resources, properties, statements, and the XML syntax used to represent them. It also covers RDF Schema which adds vocabulary for describing properties and classes of RDF resources, and provides a critical view of some aspects of RDF such as its use of binary predicates and treatment of properties.
This presentation was provided by Ashley Clark, Northeastern University, during a NISO Virtual Conference on the topic of data curation, held on Wednesday, August 31, 2016
Publishing and Using Linked Open Data - Day 1 Richard Urban
This document provides an agenda and schedule for Monday's Linked Open Data class. The day includes introductions, sessions on introducing linked data and exploring use cases, breaks for discussion, and a concluding session on kicking off participant projects. Evening events include an outside lecture and networking social for graduate students.
The document discusses using linked open data and linked data principles for libraries. It covers key concepts like URIs, RDF triples, ontologies and vocabularies. It then outlines options for libraries to both consume and publish linked data, such as enriching existing catalog data by linking to external sources, creating new information aggregates, and publishing library holdings and metadata as linked open data. Challenges include a lack of common identifiers, FRBRization of existing data, and the need for content curation and new technical systems to fully realize the benefits of linked open data for libraries.
Consuming Linked Data by Humans - WWW2010Juan Sequeda
This document discusses different ways that humans can consume linked data on the web. It describes HTML browsers that can render RDFa embedded in web pages. It also discusses linked data browsers that allow users to view RDF triples in a tabular format. Faceted browsers provide a way to explore linked data through interactive facets. On-the-fly mashups dynamically combine data from multiple sources. The document encourages the development of new and innovative interfaces for interacting with linked data.
Libraries around the world have a long tradition of maintaining authority files to assure the consistent presentation and indexing of names. As library authority files have become available online, the authority data has become accessible -- and many have been published as Linked Open Data (LOD) -- but names in one library authority file typically had no link to corresponding records for persons and organizations in other library authority files. After a successful experiment in matching the Library of Congress/NACO authority file with the German National Library's authority file, an online system called the Virtual International Authority File was developed to facilitate sharing by ingesting, matching, and displaying the relations between records in multiple authority files.
The Virtual International Authority File (VIAF) has grown from three source files in 2007 to more than two dozen files today. The system harvests authority records, enhances them with bibliographic information and brings them together into clusters when it is confident the records describe the same identity. Although the most visible part of VIAF is a HTML interface, the API beneath it supports a linked data view of VIAF with URIs representing the identities themselves, not just URIs for the clusters. It supports names for person, corporations, geographic entities, works, and expressions. With English, French, German, Spanish interfaces (and a Japanese in process), the system is used around the world, with over a million queries per day.
Speaker
Thomas Hickey is Chief Scientist at OCLC where he helped found OCLC Research. Current interests include metadata creation and editing systems, authority control, parallel systems for bibliographic processing, and information retrieval and display. In addition to implementing VIAF, his group looks into exploring Web access to metadata, identification of FRBR works and expressions in WorldCat, the algorithmic creation of authorities, and the characterization of collections. He has an undergraduate degree in Physics and a Ph.D. in Library and Information Science.
The document discusses using picture-driven computing as an assistive technology to improve accessibility. It describes using visual images instead of text inputs to allow indirect access for users with disabilities. The Sikuli platform is highlighted as a way to automate tasks by programming screenshots of graphical interfaces. Future work areas include more research on picture-driven approaches, evaluating Sikuli, and developing additional assistive technology scripts.
Refresh Tallahassee: The RE/MAX Front End StoryRachael L Moore
Come join us downstairs at the Proof Brewing Company for another excellent evening of inspiration! Rachael Moore, the front-end lead on the new remax.com, has kindly agreed to share the story and take a peek under the hood of this massive (and really nicely done) site. Among the likely topics of discussion are: Object-oriented CSS, CSS preprocessors, JavaScript frameworks, and the ins and outs of working with a distributed team.
Distributing UI Libraries: in a post Web-Component worldRachael L Moore
Modern UI Component libraries influenced by Web Components will rely more heavily on package management than last generation UI Frameworks. In this 15 minute session we'll introduce package management for web graphical user interfaces, talk about the best package contents for a UI component, and some tactics for making smooth releases.
For video, skip to 57 minutes, 13 seconds (57:13), http://www.youtube.com/watch?v=BhP86d5IiM4&t=57m13s
Operations Tooling for UI - DevOps for CSS DevelopersRachael L Moore
Linting, testing, distribution, deployment--and all the associated tooling and tracking.
The learning curve on all this stuff can be pretty harsh for web UI developers. All the vocabulary. All the options. All the extra code. What does it all mean? And what, if anything, does your project need?
In this talk I discuss web user interfaces at scale and the benefits of bringing more of DevOps culture to the UI space, combining introductory material with practical applications.
Talk presented at CSSConf in June 2015.
Creating GUI container components in Angular and Web ComponentsRachael L Moore
So you've embraced architecting your Angular application with reusable components--cheers to you! But you have UI components that need multiple entry points for user markup, and regular ng-transclude left you hanging. In this talk, we'll cover how new web component standards, like the Shadow DOM, handle this. Next, we'll walk through how to accomplish it today in Angular 1.3 -- and also give you a brief glimpse into what a solution will look like in upcoming Angular 2. Afterwards, you'll know how to make layout scaffold components with custom elements that serve as containers for arbitrary user-provided HTML content.
Talk presented at ng-conf in March 2015.
Creating GUI Component APIs in Angular and Web ComponentsRachael L Moore
So you’ve embraced architecting your Angular application with reusable components – cheers to you! But you have UI components that need to communicate with each other or expose public methods, and you’re wondering about your options. In this talk, we’ll cover how new web component standards, like Custom Elements, handle this. Next, we’ll walk through how to accomplish it today in Angular 1.x – and bring it all together into what a solution will look like in upcoming Angular 2. Afterwards, you'll know how to design and implement the public HTML and JavaScript interfaces of GUI components.
Talk presented at Angular Connect in October 2015.
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.
Leveraging the semantic web meetup, Semantic Search, Schema.org and moreBarbaraStarr2009
A history and description of the adoption of Semantic Search by the major search and social engines. Covers schema.org, the knowledege graph and status to date (july 30, 2013). Presented From a Search Engine Point of View.
The document summarizes semantic technologies that can be used to make web search and content more intelligent. It discusses how search and online media are converging, and how semantic markup like RDFa, microformats, and microdata can be used to embed structured data in web pages. This allows search engines and other applications to better understand page content and provide more sophisticated features like entity search, personalized results, and content aggregation.
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.
The search world is all about social graphing today. Just look at Google's quick results sidebar when you search for a local business. You see a picture of the business, rating/reviews, hours, menu and more. Structured SEO data can help you define and shape what is shown about your site on search results.
This talks is intended to help people understand how to apply Structured data to a website and then implement this with a minimum of technical skill.
This talk covers:
Why you should be using structured data
An overview of what structured data is
A dive into the Schema.org standard and how Search Engines expect this to be embedded into a site.
A short example of how this was used in the DukeHealth.org site
A how to on using the Metatag and Schema.org Metatag modules to add structured data to your site.
A very quick look at how to go beyond what these can do using code.
Note I'm not an SEO wiz that can tell you 'how to make your site shine' but have learned a bit while implementing this on various sites. In other words, I may not be able to tell you what to do for this, but I can tell you how to do it. :)
The document discusses the evolution of the web from Web 1.0 to the proposed Web 3.0. Web 1.0 consisted of static, text-based pages, while Web 2.0 added user-generated content and applications. Web 3.0, also called the Semantic Web, aims to make data on the web more accessible and useful by adding metadata and structure using technologies like RDF, RDFS, OWL, and SPARQL. Microformats are presented as a simpler way to add semantics by reusing existing web standards. Open data and APIs are also discussed as ways to freely share and combine data. Examples of sites using these approaches are provided.
Stéphane Corlosquet and Nick Veenhof presented on the future of search and SEO. They discussed how search engines like Google are moving towards knowledge graphs that understand relationships between entities rather than just keyword matching. They explained how the Schema.org standard and modules like Schema.org and Rich Snippets for Drupal help structure Drupal content to be understood by search engines and display rich snippets in search results. The presentation demonstrated how these techniques improve search and allow Drupal sites to integrate with non-Drupal data.
How google is using linked data today and vision for tomorrowVasu Jain
In this presentation, I will discuss how modern search engines, such as Google, make use of Linked Data spread inWeb pages for displaying Rich Snippets. Also i will present an example of the technology and analyze its current uptake.
Then i sketched some ideas on how Rich Snippets could be extended in the future, in particular for multimedia documents.
Original Paper :
http://scholar.google.com/citations?view_op=view_citation&hl=en&user=K3TsGbgAAAAJ&authuser=1&citation_for_view=K3TsGbgAAAAJ:u-x6o8ySG0sC
Another Presentation by Author: https://docs.google.com/present/view?id=dgdcn6h3_185g8w2bdgv&pli=1
The speaker discusses the semantic web and its potential to make data on the web smarter and more connected. He outlines several approaches to semantics like tagging, statistics, linguistics, semantic web, and artificial intelligence. The semantic web allows data to be self-describing and linked, enabling applications to become more intelligent. The speaker demonstrates a prototype semantic web application called Twine that helps users organize and share information about their interests.
The document discusses the emergence of the semantic web, which aims to make data on the web more interconnected and machine-readable. It describes Tim Berners-Lee's vision of a "Giant Global Graph" that connects all web documents based on what they are about rather than just linking documents. This would allow user data and profiles to be seamlessly shared across different sites without having to re-enter the same information. The semantic web uses standards like RDF, RDFS and OWL to represent relationships between data in a graph structure and enable automated reasoning. Several companies are working to build applications that take advantage of this interconnected semantic data.
Structured SEO Data: An overview and how to for Drupalcgmonroe
This document provides an overview of structured data and how to implement it in Drupal using the MetaTag and Schema Metatag modules. It discusses why structured data is useful for SEO, gives examples of rich snippets and knowledge graphs, and outlines how to set global and per-entity structured data defaults in Drupal. It also provides tips on validation and best practices for structured data implementation.
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 semantic search and summarizes some key points:
1. Semantic search aims to improve search by exploiting structured data and metadata to better understand user intent and content meaning.
2. It can make use of information extraction techniques to extract implicit metadata from unstructured web pages, or rely on publishers exposing structured data using semantic web formats.
3. Semantic search can enhance different stages of the information retrieval process like query interpretation, indexing, ranking, and evaluation.
X api chinese cop monthly meeting feb.2016Jessie Chuang
The document summarizes the topics discussed at an XAPI Chinese CoP meeting in February 2016. It covered the XAPI vocabulary specification, linked data/semantic web, linked data in education and content recommendation, semantic search and Google Knowledge Graph, monetizing data and adding intelligence. It also included a case study on Hong Ding Educational Technology using XAPI data and partnerships to provide differentiated learning paths. The document emphasized collaborating on standards for competency, user data, content metadata and xAPI statements to enable partnerships and monetizing data while ensuring security, regulation and collective decision making.
The document discusses the semantic web and how it can potentially disrupt or benefit online commerce. It provides definitions and explanations of key concepts related to the semantic web including RDF, ontologies, linked data, and semantic search. It outlines how search engines and websites are increasingly adopting and leveraging semantic web technologies like RDFa to provide richer search results and experiences for users.
This document provides an introduction to metadata, including what it is, its purposes, and types. Metadata is data that describes other data, such as author, title, and subject for a document. It helps identify, manage, retrieve, and connect related content. There are three main types - descriptive, structural, and administrative. Metadata standards like Dublin Core and taxonomies help ensure consistency and enable interoperability across collections. High quality metadata requires careful planning, structure, and maintenance.
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
INDIAN AIR FORCE FIGHTER PLANES LIST.pdfjackson110191
These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.
論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...Toru Tamaki
Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023
https://arxiv.org/abs/2307.12980
Details of description part II: Describing images in practice - Tech Forum 2024BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and transcript: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-InTrustArc
Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk.
What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year?
Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year.
This webinar will review:
- Key changes to privacy regulations in 2024
- Key themes in privacy and data governance in 2024
- How to maximize your privacy program in the second half of 2024
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
Coordinate Systems in FME 101 - Webinar SlidesSafe Software
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
- Look Ahead: Gain insights into where FME is headed with coordinate systems in the future
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
Choose our Linux Web Hosting for a seamless and successful online presencerajancomputerfbd
Our Linux Web Hosting plans offer unbeatable performance, security, and scalability, ensuring your website runs smoothly and efficiently.
Visit- https://onliveserver.com/linux-web-hosting/
Measuring the Impact of Network Latency at TwitterScyllaDB
Widya Salim and Victor Ma will outline the causal impact analysis, framework, and key learnings used to quantify the impact of reducing Twitter's network latency.
Support en anglais diffusé lors de l'événement 100% IA organisé dans les locaux parisiens d'Iguane Solutions, le mardi 2 juillet 2024 :
- Présentation de notre plateforme IA plug and play : ses fonctionnalités avancées, telles que son interface utilisateur intuitive, son copilot puissant et des outils de monitoring performants.
- REX client : Cyril Janssens, CTO d’ easybourse, partage son expérience d’utilisation de notre plateforme IA plug & play.
Advanced Techniques for Cyber Security Analysis and Anomaly DetectionBert Blevins
Cybersecurity is a major concern in today's connected digital world. Threats to organizations are constantly evolving and have the potential to compromise sensitive information, disrupt operations, and lead to significant financial losses. Traditional cybersecurity techniques often fall short against modern attackers. Therefore, advanced techniques for cyber security analysis and anomaly detection are essential for protecting digital assets. This blog explores these cutting-edge methods, providing a comprehensive overview of their application and importance.
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsMydbops
This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization.
Key Takeaways:
* Understand why connection pooling is essential for high-traffic applications
* Explore various connection poolers available for PostgreSQL, including pgbouncer
* Learn the configuration options and functionalities of pgbouncer
* Discover best practices for monitoring and troubleshooting connection pooling setups
* Gain insights into real-world use cases and considerations for production environments
This presentation is ideal for:
* Database administrators (DBAs)
* Developers working with PostgreSQL
* DevOps engineers
* Anyone interested in optimizing PostgreSQL performance
Contact info@mydbops.com for PostgreSQL Managed, Consulting and Remote DBA Services
2. Part I
What are these things?
Why would you use them?
What do they look like?
3. What are microformats?
● microformats.org: “A set of [...] data formats...”
● wikipedia.org: “An approach to semantic markup which
seeks [...] to convey metadata.”
● google.com: “Simple conventions used [...] to describe a
specific type of information...”
4. What is microdata?
● w3.org: “Allows machine-readable data to be embedded
in HTML documents...”
● wikipedia.org: “A simple way to embed semantic markup
into HTML documents...”
● google.com: “A way to label content to describe a
specific type of information...”
5. What is RDFa?
● w3.org: “A [way] to augment visual data with machine-
readable hints.”
● wikipedia.org: “[Embeds] rich metadata within web
documents.”
● google.com: “A way to label content to describe a
specific type of information...”
6. Sound similar? They are!
They all have common goals:
● Semantics - Meaning.
Ex: "This is the name of a person."
● Metadata - Data about data.
Ex: "This is the author of this article."
● Machine Readability - Tell the machine what
"adlfladkldbcdefg" means to the humans.
7. How are they different?
Individual strengths and weaknesses. But they're all trying
to solve the same problem.
● Different approaches,
● Different "specifications,"*
● Different "vocabularies,"**
● Different "syntaxes."***
* All words used loosely.
** "Native" vocabs closely related to each.
*** The biggest difference.
8. How are they different?
● Microformats: Uses existing HTML4 tags &
attributes. Easiest to pick up.
● Microdata: New in HTML5. Uses new
HTML5 attributes.
● RDFa: Adds RDF to XHTML using new attributes. The
most complex!
(Remember: <tag attribute="value"></tag>)
9. What are they used for?
● Add Meaning to website content
○ How does a machine know that "Blah Blah" is the
name of a person?
○ Currently? Context + vast amounts of data to analyze.
○ Microformats allow us to specify "this is a person's
name" in our HTML code.
10. What are they used for?
● Describe Relationships in website content
○ We can also use these techniques to describe
relationships...
○ Especially between meaningful pieces of website
content!
○ For example, we can indicate that a person is affiliated
with a particular company.
11. Why would you want that?
● Enable Parsing by...
○ Google (Rich Snippets, Zeitgeist)
○ Yahoo! (Pipes, SearchMonkey)
○ & other miscellaneous
■ aggregators,
■ apps,
■ browser plugins,
■ or your own custom code!
12. Why would you want that?
● By enabling parsing, you enable sharing!
● Sharing increases your potential traffic!
● Effectively sharing increases your reach!
13. Why would you want that?
● Find-Ability: Better understanding of content's
meaning = potentially more targeted traffic.
● User Experience: Parsed content can be downloaded
and imported into software (ex: contact info or
events)!
● Workflow Efficiency: Help establish internal
standards for class naming and markup patterns.
(Emily Lewis, http://msdn.microsoft.com/en-us/scriptjunkie/ff979268.aspx)
14. Who should be interested?
Lots of ways & reasons to use microformats et al.
They are of especial interest regarding:
● Search Engine Optimization
● Social Networking
● Front End Web Development
16. What are common uses?
● People & Organizations
● Places / Locations
● Events
● Listings / Products
● Dozens More! Custom Formats!
17. Who uses them?
● hCard (Person): Yahoo! Local, Google Rich Snippets,
Google Maps, Google Profiles, BrightKite, Twitter,
Last.fm, 37Signals’ Basecamp, Telnic, Gravatar
● hCalendar (Event): Facebook, Yahoo! Upcoming,
Eventful, Google Rich Snippets, MapQuest Local
● hResume (Resume): LinkedIn, SimplyHired, Xing
● XFN (Relationships): Twitter, Flickr, Digg, Technorati,
Ident Engine, Plaxo, Google Social Graph, Last.fm
(cite: Emily Lewis, http://msdn.microsoft.com/en-us/scriptjunkie/ff979268.aspx)
18. Who uses them?
In the real estate industry:
● realestate.com
● forrent.com
● number1expert.com
● zillow.com
● realestate.tampabay.com
● neighborcity.com
19. Questions?
Who has the authority over these? / Where do the formats come from?
Microformats - www.microformats.org
An independent effort on the part of various web designers & web
developers. It's open to input from anyone! They identify common needs -- ie:
the need to mark up contact information -- and collaborate to work up
formats. There's a core volunteer group in control (they make decisions based
on an ideology you can read about on the site), but it's basically a populist
movement.
Microdata - www.w3.org/TR/html5/
Part of the HTML5 specification worked on by the WHATWG and W3C. The
W3C is the biggest "standards authority" of the 'net. There was a big argument
over how to add more semantic markup to HTML. Should they create a million
new tags or make it extensible like XHTML? Should microformats become
part of the HTML5 spec? Or RDFa? So WHATWG came up with their own
new alternative, microdata.
RDFa - www.w3.org/TR/xhtml-rdfa-primer/
RDF & RDFa are W3C specifications.
20. Questions?
If there are different vocabularies, where do they come from? Can one
vocabulary be used with all the specifications?
There are certainly some overlapping vocabularies.
The same groups who worked on specifications for microformats, microdata,
and RDFa have often also created custom vocabularies to use with their
specifications.
But a vocabulary can also be created by a completely separate group. Or an
individual. Some vocabularies you'll come across can be used as a
microformat, microdata, or RDFa (no matter which they were intended for).
So how do you choose? Basically, you want to choose the vocabulary that
works for your situation. One which is understood by whatever search
engine/web application/software that you are hoping to enable.
The two "best" places for vocabularies (ones that are easy to learn and
understood on the web) are microformats.org and data-vocabulary.org.
22. How to spot a microformat.
● Uses regular old HTML4 (or new HTML5 tags).
● Uses the @class, @rel, @title, @href and other long-
established attributes.
● @class names or @rel attribute values come from the
formats specified at microformats.org.
● Microformats have been established the longest and
have the widest support.
23. How to spot microdata.
<div itemscope itemtype="http://www.data-vocabulary.org/Person/">
<h1 itemprop="name">Rachael L. Moore</h1>
<div itemprop="affiliation" itemscope
itemtype="http://www.data-vocabulary.org/Organization/">
<span itemprop="name">Homes.com</span>
<span itemprop="title">Web Developer</span>
</div>
<div itemprop="address" itemscope
itemtype="http://data-vocabulary.org/Address/">
<span itemprop="street-address">280 John Knox Rd.</span>
<span itemprop="locality">Tallahassee</span>,
<span itemprop="region">Florida</span>
<span itemprop="postal-code">32303</span>
</div>
</div>
24. How to spot microdata.
● Uses regular old HTML4 or new HTML5 tags.
● Uses the new @itemscope, @itemtype, and @itemprop
attributes.
● Can use @itemtype values and @itemprop names from
anywhere! data-vocabulary.org is a good choice
because of Google's support, though.
● Microdata will be part of HTML5, so it's likely it will
become the most widely used (but who knows).
26. How to spot RDFa.
● Probably uses XHTML.
● Declares a namespace using @xmlns, uses
namespaces throughout.
● Uses the custom @typof, @property, & @content
attributes; also uses @rel, @href, <link>, & <meta>.
● Again, can use a vocabulary from anywhere. Vocabs
designed by RDF proponents also exist.
27. How to spot RDFa.
● RDFa has the strongest theoretical foundation. It's also
the most complicated. It has the ability to express more
complicated statements of meaning and more
complicated relationships.
● ...But it looks like it's probably going to remain the least
popular of the options.