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:
- 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)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/233_Paper.pdf