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The Web Data Commons Structured Data Extraction

Primpeli, Anna ; Meusel, Robert ; Bizer, Christian ; Stuckenschmidt, Heiner

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Download (460kB) | Lizenz: Creative Commons LizenzvertragThe Web Data Commons Structured Data Extraction by Primpeli, Anna ; Meusel, Robert ; Bizer, Christian ; Stuckenschmidt, Heiner underlies the terms of Creative Commons Attribution 3.0 Germany

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Abstract

More and more websites annotate their content using different markup formats. These annotations involve a large number of topics such as persons, events, products, hotels, organizations and cities. The purpose of embedding structured data in HTML pages is to make the content of those pages understandable to web applications. In this way, the retrieval and integration of data deriving from different web pages is greatly facilitated. The presented poster gives an overview of the Web Data Commons - structured data project for the year 2016. The Web Data Commons project extracts structured data from the web corpus provided by Common Crawl, the largest public web corpus, and offers the extracted data for public download. In order to process these huge amounts of data, Web Data Commons builds upon its Extraction Framework and the Amazon Web Services.

Item Type: Conference Item
Date Deposited: 27 Apr 2017 07:23
Date: 17 March 2017
Number of Pages: 1
Event Dates: 16-17 Mar 2017
Event Location: Heidelberg University
Event Title: E-Science-Tage 2017: Forschungsdaten managen
Faculties / Institutes: Service facilities > Computing Centre
Subjects: 004 Data processing Computer science
020 Library and information sciences
Controlled Keywords: Markup Language, Structured data
Collection: E-Science-Tage 2017
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