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Intelligent Query Expansion for the Queries including Numerical Terms

Published on November 2012 by Devendra K. Tayal, Smita Sabharwal, Amita Jain, Kanika Mittal
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National Conference on Communication Technologies & its impact on Next Generation Computing 2012
Foundation of Computer Science USA
CTNGC - Number 2
November 2012
Authors: Devendra K. Tayal, Smita Sabharwal, Amita Jain, Kanika Mittal
0e193d0d-0431-4777-80fb-997ee264e218

Devendra K. Tayal, Smita Sabharwal, Amita Jain, Kanika Mittal . Intelligent Query Expansion for the Queries including Numerical Terms. National Conference on Communication Technologies & its impact on Next Generation Computing 2012. CTNGC, 2 (November 2012), 35-39.

@article{
author = { Devendra K. Tayal, Smita Sabharwal, Amita Jain, Kanika Mittal },
title = { Intelligent Query Expansion for the Queries including Numerical Terms },
journal = { National Conference on Communication Technologies & its impact on Next Generation Computing 2012 },
issue_date = { November 2012 },
volume = { CTNGC },
number = { 2 },
month = { November },
year = { 2012 },
issn = 0975-8887,
pages = { 35-39 },
numpages = 5,
url = { /proceedings/ctngc/number2/9060-1021/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Communication Technologies & its impact on Next Generation Computing 2012
%A Devendra K. Tayal
%A Smita Sabharwal
%A Amita Jain
%A Kanika Mittal
%T Intelligent Query Expansion for the Queries including Numerical Terms
%J National Conference on Communication Technologies & its impact on Next Generation Computing 2012
%@ 0975-8887
%V CTNGC
%N 2
%P 35-39
%D 2012
%I International Journal of Computer Applications
Abstract

Generally the query input by a user contains terms that do not match those terms which are used to index the majority of the relevant documents. Sometimes the un-retrieved relevant documents are indexed by a different set of terms than those in the query. In order to solve this problem it is necessary to modify the user's query. To do so the researchers have proposed query expansion to help the user to formulate what information is actually needed. For nonnumeric terms researchers purposed many good solutions but as numerical values do not have any synonyms or stemming words, previous approaches were restricted to match the document exactly to the numerical terms that were present in the query. The method presented in this paper searches for the approximate matching of numerical terms also. The method uses fuzzy weighing of query terms with the help of fuzzy triangular membership function.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Membership Function Numerical Terms Query Expansion Term-weighting Information Retrieval