Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
A model of knowledge based information retrieval with hierarchical concept
Journal of Documentation
Information retrieval based on fuzzy associations
Fuzzy Sets and Systems - On fuzzy information and database systems
A fuzzy document retrieval system using the keyword connection matrix and a learning method
Fuzzy Sets and Systems - Special issue on applications of fuzzy systems theory, Iizuka '88
Document ranking using an enriched thesaurus
Journal of Documentation
Relevance feedback and other query modification techniques
Information retrieval
On the evaluation of Boolean operators in the extended Boolean retrieval framework
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Extended Boolean information retrieval
Communications of the ACM
Learning semantic relatedness from term discrimination information
Expert Systems with Applications: An International Journal
Investigating retrieval performance with manually-built topic models
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Multi-term web query expansion using wordnet
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
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In this paper, we address there important issues with query expansion using a thesaurus; how to give weights to the terms in expanded queries, how to select additional search terms in the thesaurus, and how to enrich the terms in the manual thesaurus (namely, thesaurus reconstruction). To weight the terms in expanded queries, we construct the weighted thesaurus that has a similarity value between the terms in the thesaurus, using statistical co-occurrence in a corpus. To enrich the terms in the manual thesaurus, domain dependent terms which occur in a corpus are inserted into the weighted thesaurus using the co-occurrence information. In this paper, the reconstructed thesaurus with weights is defined as a domain-adapted, weighted thesaurus. Then we explain query expansion using the domain-adapted, weighted thesaurus in an extended Boolean retrieval model. To select additional search terms during query expansion, our model uses semi-automatic query expansion and a restriction method. In the experiments, our system had almost twice the recall of the boolean retrieval system not using the thesaurus or the query expansion retrieval system using the original thesaurus. And also, the precision of our system was almost the same precision as the other systems.