DBpedia Domains: augmenting DBpedia with domain information

Gregor Titze, Volha Bryl, Cäcilia Zirn, Simone Paolo Ponzetto


Abstract
We present an approach for augmenting DBpedia, a very large ontology lying at the heart of the Linked Open Data (LOD) cloud, with domain information. Our approach uses the thematic labels provided for DBpedia entities by Wikipedia categories, and groups them based on a kernel based k-means clustering algorithm. Experiments on gold-standard data show that our approach provides a first solution to the automatic annotation of DBpedia entities with domain labels, thus providing the largest LOD domain-annotated ontology to date.
Anthology ID:
L14-1224
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
1438–1442
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/233_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Gregor Titze, Volha Bryl, Cäcilia Zirn, and Simone Paolo Ponzetto. 2014. DBpedia Domains: augmenting DBpedia with domain information. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 1438–1442, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
DBpedia Domains: augmenting DBpedia with domain information (Titze et al., LREC 2014)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/233_Paper.pdf