Automatic extraction of fuzzy domain ontology concepts

Authors:
James N. K. Liu;Toby W. H. Lam;Hongwei Wang;Hillman W. K. Tam
Affiliations:
Department of Computing, Hong Kong Polytechnic University, Hong Kong;Department of Computing, Hong Kong Polytechnic University, Hong Kong;School of Economics and Management, Tongji University, Shanghai, China;Department of Computing, Hong Kong Polytechnic University, Hong Kong
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Year:
2009

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Abstract

We present an Automatic Ontology Concepts Extractor (AOCE) for ontology construction. The AOCE extracts concept knowledge from the movie domain articles. Two algorithms 1) the Hundred Surname Artist extraction algorithm and 2) Custom Distance Function with the Fuzzy Genetic Expert System are adopted for the extraction process. Experimental results are promising that the system can reduce human efforts for extracting concepts and knowledge from similar articles in a specific domain. The proposed methodology demonstrates the potentials of automatic ontology construction and creation, which are the big incentive for further research.