Automatic domain ontology construction based on thesauri

Authors:
Weicong Sun;Meiying Jia;Dequan Zheng;Hongqiang Cao;Bingru Yang;Hao Yu
Affiliations:
MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin;School of Information Engineering, University of Science and Technology, Beijing and Beijing Graphic Institution, Beijing;MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin and Beijing Graphic Institution, Beijing;Beijing Graphic Institution, Beijing;School of Information Engineering, University of Science and Technology, Beijing and Beijing Graphic Institution, Beijing;MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Year:
2009

Citing 2
Cited 0

From thesaurus to ontology

Proceedings of the 1st international conference on Knowledge capture
Semi-automatic practical ontology construction by using a thesaurus, computational dictionaries, and large corpora

HLTKM '01 Proceedings of the workshop on Human Language Technology and Knowledge Management - Volume 2001

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Abstract

The research on the automatic ontology construction has become very popular. It is very useful for the ontology construction to reengineer the existing knowledge resource, such as the thesauri. But many relationships in the thesauri are incorrect or are defined too broadly. Accordingly, extracting ontological relations from the thesauri becomes very important. This paper proposes the method to reengineer the thesauri to ontology, and especially the method to how to obtain the correct semantic relations. The test result shows the accuracy of the semantic relations is 86.23%, and one is the hierarchical relations with 89.02%, and the other is non-hierarchical relations with 83.44%.