Nell2RDF: Read the Web, and turn it into RDF

Abstract : This paper describes the Nell2RDF platform that provides Linked Data of general knowledge, based on data automatically constructed by a permanent machine learning process called NELL that reads the Web. As opposed to DBpedia, all facts recorded by NELL can be tracked according to its provenance and a degree of confidence. With our platform, we aim at capturing all the data generated by NELL a transform them into state of the art Linked Data, following best practices. We discuss the benefits of the platform in opening new lines of research, while the work is still in progress.
Type de document :
Communication dans un congrès
Second international workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (Know@LOD), May 2013, Montpellier, France. 2013
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https://hal-emse.ccsd.cnrs.fr/emse-00826385
Contributeur : Florent Breuil <>
Soumis le : lundi 27 mai 2013 - 14:39:15
Dernière modification le : dimanche 15 octobre 2017 - 22:44:13

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  • HAL Id : emse-00826385, version 1

Citation

Antoine Zimmermann, Christophe Gravier, Julien Subercaze, Quentin Cruzille. Nell2RDF: Read the Web, and turn it into RDF. Second international workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (Know@LOD), May 2013, Montpellier, France. 2013. 〈emse-00826385〉

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