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2018. Welche Teile des Webs sollen für zukünftige Generationen archiviert werden? Das erkundet derzeit die Deutsche Nationalbibliothek und befragt Internetnutzer. Im Interview spricht Vizedirektorin Ute Schwens über den Stand der Dinge bei der Webarchivierung und die Auswirkungen des neuen Urheberrechts.
HTML microdata [MICRODATA] is an extension to HTML used to embed machine-readable data into HTML documents. Whereas the microdata specification describes a means of markup, the output format is JSON. This specification describes processing rules that may be used to extract RDF [RDF11-CONCEPTS] from an HTML document containing microdata.
This document describes how a Dublin Core metadata description set can be encoded in HTML/XHTML <meta> and <link> elements. It is an HTML meta data profile, as defined by the HTML specification.
$Date: 2013-03-01 15:54:47 $
The content of the vocabulary prefixes, to be included in the RDFa 1.1 Default Profile, is defined based on the general usage of those vocabularies on the Semantic Web. This general usage is established using search crawl data, courtesy of Sindice and of Yahoo!. This page describes the methodology used during crawls as well as the possible post-processing steps.
Abstract. In order to support web applications to understand the content of HTML pages an increasing number of websites have started to annotate structured data within their pages using markup formats such as Microdata, RDFa, Microformats. The annotations are used by Google, Yahoo!, Yandex, Bing and Facebook to enrich search results and to display entity descriptions within their applications. In this paper, we present a series of publicly accessible Microdata, RDFa, Microformats datasets that we have extracted from three large web corpora dating from 2010, 2012 and 2013.
More and more websites have started to embed structured data describing products, people, organizations, places, and events into their HTML pages using markup standards such as Microdata, JSON-LD, RDFa, and Microformats. The Web Data Commons project extracts this data from several billion web pages. So far the project provides 11 different data set releases extracted from the Common Crawls 2010 to 2022. The project provides the extracted data for download and publishes statistics about the deployment of the different formats.
S. Staab, J. Lehmann, und R. Verborgh. Companion Proceedings of the The Web Conference 2018, Seite 885--886. Republic and Canton of Geneva, Switzerland, International World Wide Web Conferences Steering Committee, (2018)
A. Harth. Web Semantics: Science, Services and Agents on the World Wide Web, 8 (4):
348--354(2010)Semantic Web Challenge 2009 User Interaction in Semantic Web research.