webdatacommons.org - Web Data Commons

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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.

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. So far the project provides six different data set releases extracted from the Common Crawl 2016, 2015, 2014, 2013, 2012 and 2010. The project provides the extracted data for download and publishes statistics about the d

The Web contains vast amounts of HTML tables . Most of these tables are used for layout purposes, but a fraction of the tables is also quasi-relational, meaning that they contain structured data describing a set of entities, and are thus useful in application contexts such as data search, table augmentation, knowledge base construction, and for various NLP tasks. The WDC Web Tables data set consists of the 147 million relational Web tables that are contained in the overall set of 11 billion HTML tables foun

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