Dataset description

Never-Ending Language Learning (NELL) is a Web-scale crawler that leverages massive knowledge from unstructured Web page. This knowledge is a close silo of triples. In this contribution, we aim at interlinking NELL with DBPedia. We provide here the resulting dataset providind interlinking and alignment of the DBPedia ontology and NELL-specific knowledge representation scheme.

This contribution is submitted to ISWC 2016 Resource track and should be cited accordinlgy in case of acceptance :

R. Haque et al., "NELLDB: An Interlinked Ontology", Proc. of the 15th International Semantic Web Conference. 17-21 October 2016, Kobe, Japan.

This is a follow-up of a previous limited alignment published at ESWC 2013, in which we only focus on lifting NELL knowledge representation to RDFS :

A. Zimmermann et al., "Nell2RDF: Read the Web, and turn it into RDF", 2nd Int Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data, 10th ESWC 2013, Montpellier, France

The following website host all our contributions in this regard: http://nell-ld.telecom-st-etienne.fr/

Availability

Here are additional information :

Availability Link
Schema diagram http://nell-ld.telecom-st-etienne.fr/NellDBSchema.pdf
VoID/DCAT/DublinCore description http://void.rkbexplorer.com//NellDB.void
Persistent URL http://nell-ld.telecom-st-etienne.fr/ontologies/NellDB
Citation R. Haque et al., "NELLDB: An Interlinked Ontology", Proc. of the 15th International Semantic Web Conference. 17-21 October 2016, Kobe, Japan.
Licence Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Dataset http://nell-ld.telecom-st-etienne.fr/
Publicly available at The dataset is also publicly available at FigShare
Sustainability The dataset is maintained by Rafiq Haque. Maintanbility, usage and other issues can also be adressed on the dataset issue tracker.