Using Vagueness Measures to Re-rank Documents Retrieved by a Fuzzy Set Information Retrieval Model

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Permanent URL	http://hdl.lib.byu.edu/1877/2634
Title	Using Vagueness Measures to Re-rank Documents Retrieved by a Fuzzy Set Information Retrieval Model
BYU Creator	Lynn, Stephen Ng, Yiu-Kai D.
Keywords	fuzzy set; information retrieval; vague query
Description/Abstract	Traditional information retrieval (IR) systems evaluate user queries and retrieve/rank documents based on matching keywords in user queries with words in documents. These exact word-matching and ranking approaches ignore too many relevant documents that do not contain the exact keywords as specified in a user query. Instead of considering these traditional approaches, we propose to retrieve documents using a fuzzy set IR model and rank retrieved documents for any vague query using the “vagueness score” of the documents based on the word senses as defined in WordNet. Using the vagueness scores, we rank the most highest “relevant” documents of a vague query q as the ones that best cover the different possible senses of keywords in q. The proposed word-sense ranking method enhances the existing ranking approaches on ordering retrieved documents for vague queries and thus provides a more reliable and elegant tool for information retrieval.
Source	Stephen Lynn and Yiu-Kai Ng. "Using Vagueness Measures to Re-rank Documents Retrieved by a Fuzzy Set Information Retrieval Model." In Proceedings of the 5th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'08), Vol. 5, pp. 39-43, October 18-20, 2008, Jinan, China.;
Publisher	IEEE
Date Original	2008-10-18
Date Digital	2010-10-26
Language	English eng en
Publication Type	Articles Conference Proceedings
Type	Text
Format	application/pdf
Owning Institution	Brigham Young University
BYU College	College of Physical and Mathematical Sciences
BYU Department	Computer Science
Copyright Status	(c) 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.;
Copyright Use Information	http://www.lib.byu.edu/generic_copyright.html

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Using Vagueness Measures to Re-rank Documents Retrieved by a Fuzzy Set Information Retrieval Model

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