Web Data Commons – Extracting Structured Data from Two Large Web Corpora
Bizer, Christian ;  Mühleisen, Hannes

Main titleWeb Data Commons – Extracting Structured Data from Two Large Web Corpora
AuthorBizer, Christian
AuthorMühleisen, Hannes
No. of Pages4 S.
Classification (DDC)004 Data processing and Computer science
Also published inLDOW2012, April 16, 2012, Lyon, France
AbstractMore and more websites embed structured data describing for instance products, people, organizations, places, events, resumes, and cooking recipes into their HTML pages using encoding standards such as Microformats, Microdatas and RDFa. The Web Data Commons project extracts all Microformat, Microdata and RDFa data from the Common Crawl web corpus, the largest and most up-todata web corpus that is currently available to the public, and provides the extracted data for download in the form of RDF-quads. In this paper, we give an overview of the project and present statistics about the popularity of the different encoding standards as well as the kinds of data that are published using each format.
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FU DepartmentDepartment Business and Economics
Other affiliation(s)Wirtschaftsinformatik
Year of publication2012
Type of documentOther article
Terms of use/Rights Nutzungsbedingungen
Created at2012-10-25 : 10:26:08
Last changed2015-02-27 : 08:26:22
Static URLhttp://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000014832