Abstract
In this paper we experimentally study the impact of normalized query expansion on Web Information Retrieval. In this respect, we have implemented a query expansion module, which firstly normalizes the user submitted queries and subsequently attempts to enrich them with semantically related terms that are obtained from WordNet. Experimental results demonstrate that for certain query types our module has a potential in giving improved search results in terms of relevance, compared to the results retrieved for the same queries by other retrieval methods.
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Normalized Query Expansion Overview and Results, ftp://150.140.4.154/ftproot/
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© 2005 Springer-Verlag Berlin Heidelberg
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Stamou, S., Christodoulakis, D. (2005). Retrieval Efficiency of Normalized Query Expansion. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30586-6_64
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DOI: https://doi.org/10.1007/978-3-540-30586-6_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24523-0
Online ISBN: 978-3-540-30586-6
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