Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Relevant TV program retrieval using broadcast summaries
Proceedings of the 15th international conference on Intelligent user interfaces
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This paper proposes a method of computing semantic similarity which improves accuracy compared to the exisitng approaches. Most of the exisitng approaches uses WordNet as the ontology to calcualte and evaluate the similariy. A method using lightweight ontologies is proposed. The proposed method which considers offset value depends on ontology's hierarchy layer and keyword's importance increases the accuracy of the correlation between computed similarities and human judgements.The method was used in a TV navigation agent system. This system introduces similar TV programs in which the user is interested. Several lightweight ontologies for TV programs to compute semantic similarity between TV programs was also developed. An experiment to evaluate the accuacy was also conducted.