Abstract
In this paper, we propose a method for multi-term query expansions based on WordNet. In our approach, Hypernym/Hyponymy and Synonym relations in WordNet is used as the basic expansion rules. Then we use WordNet Lexical Chains and WordNet semantic similarity to assign terms in the same query into different groups with respect to their semantic similarities. For each group, we expand the highest terms in the WordNet hierarchies with Hypernym and Synonym, the lowest terms with Hyponym and Synonym, and all other terms with only Synonym. Furthermore, we use collection related term semantic network to remove the low-frequency and unusual words in the expansions. And our experiment reveals that our solution for query expansion can improve the query performance dramatically.
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Gong, Z., Cheang, C.W., Hou U, L. (2006). Multi-term Web Query Expansion Using WordNet. In: Bressan, S., Küng, J., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2006. Lecture Notes in Computer Science, vol 4080. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11827405_37
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DOI: https://doi.org/10.1007/11827405_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37871-6
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