Web Data Commons - WebIsA Database



Item Type: Dataset
Title: Web Data Commons - WebIsA Database
Alternative Title: Hypernymy relations extracted from the CommonCrawl web corpus
Date: 2015
Creator: Bizer, Christian, Eckert, Kai, Faralli, Stefano, Meusel, Robert, Paulheim, Heiko and Ponzetto, Simone Paolo
Divisions: School of Business Informatics and Mathematics > Wirtschaftsinformatik V (Bizer)
School of Business Informatics and Mathematics > Semantic Web (Juniorprofessur) (Ponzetto 2013-15)
DDC
Classification:		 004 Computer science, internet
Keywords: IsADb ; hypernymy
Abstract: WebIsADb is a publicly available database containing more than 400 million hypernymy relations we extracted from the CommonCrawl web corpus. This collection of relations represents a rich source of knowledge and may be useful for many researchers. We offer the tuple dataset for public download and an application programming interface to help other researchers programmatically query the database.
URL: https://madata.bib.uni-mannheim.de/215/
DOI: https://doi.org/10.7801/215
Availability (Controlled): Download
Availability: Data is available as a MongoDB and csv files. Download source: http://webdatacommons.org/isadb/index.html#toc2
Publication(s)
(MADOC):		 Seitner Julian und Bizer Christian und Eckert Kai und Faralli Stefano und Meusel Robert und Paulheim Heiko und Ponzetto Simone Paolo (2016), A large DataBase of hypernymy relations extracted from the Web
Faralli Stefano und Bizer Christian und Eckert Kai und Meusel Robert und Ponzetto Simone Paolo (2016), A Web application to search a large repository of taxonomic relations from the Web
Project: Project Title: Web Data Commons - WebIsA Database
Project Description: Extraction of a large IsA database from the 2015 version of the Common Crawl.This collection of relations represents a rich source of knowledge and can be used to improve approaches in various application domains.

Metadata export

Full text not available from this repository.
Depositing User: Anna Primpeli
Date Deposited: 19 May 2017 11:06
Last Modified: 16 Jun 2017 10:46

Actions (login required)

View Item View Item
Mannheim Research Data is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.