Building bilingual ontology from WordNet and Chinese classified thesaurus

Authors:
He Hu;Xiaoyong Du
Affiliations:
School of Information, Renmin University of China, Beijing, China and Key Lab of Data and Knowledge Engineering, MOE, Beijing, China;School of Information, Renmin University of China, Beijing, China and Key Lab of Data and Knowledge Engineering, MOE, Beijing, China
Venue:
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Year:
2007

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Abstract

Both WordNet and Chinese Classified Thesaurus(CCT) are widely used in information retrieval and management systems. In this paper we propose a novel approach for building bilingual ontologies based on these existing knowledge bases, WordNet and CCT. The bilingual ontology has the merit that contains both domain related and general purpose semantic information coverage from these two complementary knowledge sources. A lattice based similarity measure and assessment algorithm is used for aligning and merging these two knowledge bases.