Paradigm shifts for the decentralized Web | Ruben Verborgh
Most Web applications today follow the adage “your data for my services”. They motivate this deal from both a technical perspective (how could we provide services without your data?) and a business perspective (how could we earn money without your data?). Decentralizing the Web means that people gain the ability to store their data wherever they want, while still getting the services they need. Th
Web Data Commons
The Web Data Commons project extracts structured data from the Common Crawl, the largest web corpus available to the public, and provides the extracted data for public download in order to support researchers and companies in exploiting the wealth of information that is available on the Web. News 2024-02-01: We have released the WDC Schema.org Table Corpus 2023 which contains ~5M tables and is bas
Semantic Web Interest Group - Web Schemas Task Force
Nearby: issue tracker | wiki | public-vocabs list This is a charter for a taskforce of the W3C Semantic Web Interest Group. The Web Schemas Task Force is devoted to practical issues around data schemas for large-scale use in the public Web. The group will use W3C's Wiki and the public-vocabs list. For IRC discussions, #schema is available on irc.freenode.net, alongside the existing #swig (logs) an
Registration: Machine learning & data conference | O'Reilly Strata
We’ve made the very difficult decision to cancel all future O’Reilly in-person conferences. Instead, we’ll continue to invest in and grow O’Reilly online learning, supporting the 5,000 companies and 2.5 million people who count on our experts to help them stay ahead in all facets of business and technology. Come join them and learn what they already know. Become an O’Reilly online learning member
The Web of Data: Creating Machine-Accessible Information
When you buy through affiliate links in our content, we may earn a commission at no extra cost to you. Learn how our funding model works. By using this website you agree to our terms and conditions and privacy policy. We uphold a strict editorial policy that focuses on factual accuracy, relevance, and impartiality. Our content, created by leading industry experts, is meticulously reviewed by a tea
Understanding the New Web Era: Web 3.0, Linked Data, Semantic Web
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