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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Wakaki, H., Masada, T., Takasu, A., Adachi, J. (2006). A New Measure for Query Disambiguation Using Term Co-occurrences. In: Corchado, E., Yin, H., Botti, V., Fyfe, C. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2006. IDEAL 2006. Lecture Notes in Computer Science, vol 4224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11875581_108
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DOI: https://doi.org/10.1007/11875581_108
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45485-4
Online ISBN: 978-3-540-45487-8
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