Web Data Commons - RDFa, Microdata, and Microformat 2009/2010 Data Set

Item Type:	Dataset
Title:	Web Data Commons - RDFa, Microdata, and Microformat 2009/2010 Data Set
Alternative Title:	Microformat, Microdata and RDFa data from 2009 Common Crawl web corpus
Date:	2009
Creator:	Bizer, Christian ORCID: 0000-0003-2367-0237 ; Meusel, Robert
Divisions:	School of Business Informatics and Mathematics > Wirtschaftsinformatik V (Bizer)

DDC Classification:	004 Computer science, internet
Keywords:	microformats ; microdata ; RDFa ; schema.org ; structured data
Abstract:	Microformat, Microdata and RDFa data from the 2009 Common Crawl web corpus. We found structured data within 147 million HTML pages out of the 2 billion pages contained in the crawl (5%). These pages originate from 19 million different pay-level-domains. Altogether, the extracted data sets consist of 5 billion RDF quads.

URL:	https://madata.bib.uni-mannheim.de/206/
DOI:	https://doi.org/10.7801/206
Availability (Controlled):	Download
Availability:	Data is available as N-Quads for downloading. Download source: http://webdatacommons.org/structureddata/2010-09/stats/how_to_get_the_data.html
Publication(s) (MADOC):	Meusel Robert und Bizer Christian und Paulheim Heiko (2015), A web-scale study of the adoption and evolution of the schema.org vocabulary over time Meusel Robert und Paulheim Heiko (2015), Heuristics for fixing common errors in deployed schema.org microdata Meusel Robert und Petrovski Petar und Bizer Christian (2014), The WebDataCommons Microdata, RDFa and Microformat Dataset Series Bizer Christian und Eckert Kai und Meusel Robert und Mühleisen Hannes und Schuhmacher Michael und Völker Johanna (2013), Deployment of RDFa, Microdata, and Microformats on the Web - A Quantitative Analysis
Reference URL (External):	http://webdatacommons.org/structureddata/2010-09/s... http://webdatacommons.org/structureddata/2010-09/s...
Project:	Project Title: Web Data Commons - RDFa, Microdata, and Microformat Data Sets Project Description: 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 RDFa, Microdata and Microformats. The Web Data Commons project extracts this data from several billion web pages.

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Depositing User:	Anna Primpeli
Date Deposited:	15 May 2017 14:54
Last Modified:	05 Mar 2024 13:41