Summary of the paper
| Title | DBpedia Domains: Augmenting DBpedia with Domain Information |
|---|---|
| Authors | Gregor Titze, Volha Bryl, Cäcilia Zirn and 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. |
| Topics | Ontologies, Knowledge Discovery/Representation |
Full paper  |
DBpedia Domains: Augmenting DBpedia with Domain Information |
| Bibtex | @InProceedings{TITZE14.233, author = {Gregor Titze and Volha Bryl and Cäcilia Zirn and Simone Paolo Ponzetto}, title = {DBpedia Domains: Augmenting DBpedia with Domain Information}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |