Chaudron: Extending DBpedia with measurement - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Chaudron: Extending DBpedia with measurement

Julien Subercaze

Résumé

Wikipedia is the largest collaborative encyclopedia and is used as the source for DBpedia, a central dataset of the LOD cloud. Wikipedia contains numerous numerical measures on the entities it describes, as per the general character of the data it encompasses. The DBpedia Information Extraction Framework transforms semi-structured data from Wikipedia into structured RDF. However this extraction framework offers a limited support to handle measurement in Wikipedia. In this paper, we describe the automated process that enables the creation of the Chaudron dataset. We propose an alternative extraction to the traditional mapping creation from Wikipedia dump, by also using the rendered HTML to avoid the template transclusion issue. This dataset extends DBpedia with more than 3.9 million triples and 949.000 measurements on every domain covered by DBpedia. We define a multi-level approach powered by a formal grammar that proves very robust on the extraction of measurement. An extensive evaluation against DBpedia and Wikidata shows that our approach largely surpasses its competitors for measurement extraction on Wikipedia Infoboxes. Chaudron exhibits a F1-score of .89 while DBpedia and Wikidata respectively reach 0.38 and 0.10 on this extraction task.
Fichier principal
Vignette du fichier
document.pdf (598 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01477214 , version 1 (27-02-2017)

Identifiants

  • HAL Id : hal-01477214 , version 1

Citer

Julien Subercaze. Chaudron: Extending DBpedia with measurement. 14th European Semantic Web Conference, Eva Blomqvist, Diana Maynard, Aldo Gangemi, May 2017, Portoroz, Slovenia. ⟨hal-01477214⟩
580 Consultations
470 Téléchargements

Partager

Gmail Facebook X LinkedIn More