How to construct a multi-lingual domain ontology

Nitsan Chrizman, Alon Itai


Abstract
The research focuses on automatic construction of multi-lingual domain-ontologies, i.e., creating a DAG (directed acyclic graph) consisting of concepts relating to a specific domain and the relations between them. The domain example on which the research performed is “Organized Crime”. The contribution of the work is the investigation of and comparison between several data sources and methods to create multi-lingual ontologies. The first subtask was to extract the domain’s concepts. The best source turned out to be Wikepedia’s articles that are under the catgegory. The second task was to create an English ontology, i.e., the relationships between the concepts. Again the relationships between concepts and the hierarchy were derived from Wikipedia. The final task was to create an ontology for a language with far fewer resources (Hebrew). The task was accomplished by deriving the concepts from the Hebrew Wikepedia and assessing their relevance and the relationships between them from the English ontology.
Anthology ID:
L14-1572
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:
4345–4350
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/730_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Nitsan Chrizman and Alon Itai. 2014. How to construct a multi-lingual domain ontology. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4345–4350, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
How to construct a multi-lingual domain ontology (Chrizman & Itai, LREC 2014)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/730_Paper.pdf