B. Frikh, A. S. Djaanfar, B. Ouhbi


This paper describes a hybrid statistical and semantic relationships among model concepts for ontology construction. The implementation of the model, called HCHIRSIM (Hybrid Chir-Statistic and Similarity), can be adapted to any domain ontology learning from the Web. It can be viewed as a combination of information from inference view of concepts by using the CHIR-statistic method and the semantic relationships among concepts from the Web by the mutual information measure. The experiments show that our hybrid approach outperforms both purely statistical and purely semantic relationships among concepts approaches. The successful evaluation of our method with different values of the weighting parameter shows that the proposed approach can effectively construct a cancer domain ontology from unstructured text documents.


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Paper Citation

in Harvard Style

Frikh B., S. Djaanfar A. and Ouhbi B. (2011). A HYBRID METHOD FOR DOMAIN ONTOLOGY CONSTRUCTION FROM THE WEB . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011) ISBN 978-989-8425-80-5, pages 285-292. DOI: 10.5220/0003667502850292

in Bibtex Style

author={B. Frikh and A. S. Djaanfar and B. Ouhbi},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)},

in EndNote Style

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)
SN - 978-989-8425-80-5
AU - Frikh B.
AU - S. Djaanfar A.
AU - Ouhbi B.
PY - 2011
SP - 285
EP - 292
DO - 10.5220/0003667502850292