$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.
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.
RDFa is an extension to HTML5 that helps you markup things like People, Places, Events, Recipes and Reviews. Search Engines and Web Services use this markup to generate better search listings and give you better visibility on the Web, so that people can find your website more easily.
W3C Semantic Web group's webapp implementation of pyRDFa: parse RDFa from a URL, uploaded file, or text area; get bookmarklets to parse RDFa directly from the current page.
R. Stühmer, D. Anicic, S. Sen, J. Ma, K. Schmidt, and N. Stojanovic. On the Move to Meaningful Internet Systems: OTM 2009, volume 5871 of Lecture Notes in Computer Science, page 1069-1086. Springer Berlin / Heidelberg, (2009)
J. Neubert. Proceedings of the Linked Data on the Web Workshop (LDOW2009), Madrid, Spain, April 20, 2009, CEUR Workshop Proceedings, 538, (2009)LDOW2009, April 20, 2009, Madrid, Spain.