A new measure for query disambiguation using term co-occurrences

Authors:
Hiromi Wakaki;Tomonari Masada;Atsuhiro Takasu;Jun Adachi
Affiliations:
Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan;The National Institute of Informatics, Tokyo, Japan;The National Institute of Informatics, Tokyo, Japan;The National Institute of Informatics, Tokyo, Japan
Venue:
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Year:
2006

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Abstract

This paper explores techniques that discover terms to replace given query terms from a selected subset of documents. The Internet allows access to large numbers of documents archived in digital format. However, no user can be an expert in every field, and they trouble finding the documents that suit their purposes experts when they cannot formulate queries that narrow the search to the context they have in mind. Accordingly, we propose a method for extracting terms from searched documents to replace user-provided query terms. Our results show that our method is successful in discovering terms that can be used to narrow the search.