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Reseach Article

Intelligent Query Expansion for the Queries including Numerical Terms

Published on November 2012 by Devendra K. Tayal, Smita Sabharwal, Amita Jain, Kanika Mittal
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.

References
  1. Baeza-Yates, R. and Ribeiro-Neto, B. : Modern Information Retrieval. Addison Wesley, New York, 1999.
  2. Horng, Y. J. , Chen, S. M. and Lee, C. H. : A new fuzzy information retrieval method based on document terms reweighting techniques, International Journal of Information and Management Sciences, Vol. 14, No. 4, pp. 63-82, 2003.
  3. Salton, G. : The Smart Retrieval System - Experiments in Automatic Document Processing. Prentice Hall, Englewood Cliffs, New Jersey, 1971.
  4. Kwang H. Lee: First Course on Fuzzy Theory andApplications, Springer, 2005.
  5. Roberto Navigli, Giuseppe Crisafulli, "Inducing Word Senses to Improve Web Search Result Clustering," in Proc. 2010 Conf. Empirical Methods in Natural Language Processin, Massachusetts, USA, 2010, pp. 116-126.
  6. Martin Bautista, D. Sanchez, J. C. Martinez, J. M. Serrano, M. A. Vila, "Mining Web documents to find additional query terms using fuzzy association rules," Fuzzy Sets and Systems, Vol. 148, No. 1, pp. 85-104, 2004.
  7. Kyung Soon Lee, W. Bruce Croft, James Allan, "A Cluster-Based Resampling Method for pseudo-Relevance Feedback," in Proc. 31th ACM SIGIR conf. Research and Development in Information Retrieval, Singapore, 2008, pp. 235-242.
  8. Stefan Riezler, Yi Liu, "Query Rewriting Using Monolingual Statistical Machine Translation," in Proc. ACL 2010, Uppsala, Sweden, 2010, pp. 569-582.
  9. Dumais. S. T, 1995. "Latent semantic indexing (LSI), TREC-3 report," in Proc. 3rd Text Retrieval Conf. (TREC-3), Maryland, USA, 1995, pp. 105-115.
  10. Yufeng Jing, W. Bruce Croft, "An association thesaurus for information retrieval," in Proc. RIAO 94, New York, USA, 1994, pp. 146-160.
  11. H. Chen, K. J. Lynch, "Automatic construction of networks of concepts characterizing document databases," IEEE Transl. J. System Man and Cybernetics, Vol. 22, pp. 885-902, Sep 1992.
  12. Chi Yuen Ng, Joseph Lee, Felix Cheung, Ben Kao, David Cheung, "Efficient Algorithms for Concept Space Construction," in Proc. 5th Pacific-Asia Conf. Advance in Knowledge Discovery and Data Mining, Hong Kong, China, 2001, pp. 99-101.
  13. Y Chang, I Choi, J Choi, M Kim, V. V. Raghavan, Conceptual Retrieval based on Feature Clustering of Documents, 2002.
  14. Qiu, Y. and Frei, H. P. 1993. Concept based query expansion. In Proceedings of the 16th annual international ACM SIGIR conference on Research and Development in Information Retrieval, ACM Press, 160-170.
  15. Bodner, R. and Song, F. 1996. Knowledge-based approaches to query expansion in information retrieval. In McCalla, Advances in Artificial Intelligence, 146-158.
  16. Jung, Y. , H. Park and Du, D. , An Effective Term Weighting Scheme for Information Retrieval, Computer Science Technical Report TR008, Department of Computer Science, University of Minnesota, Minneapolis, minnesota, pp. 1-15, 2000.
  17. Klink, S. 2001. Query reformulation with collaborative concept-based expansion. In Proceedings of the First International Workshop on Web Document Analysis (WDA2001), Presentation I: Content Extraction and Web Mining, http://www. csc. liv. ac. uk/~wda2001/.
  18. Kim, B. M. , Kim, J. Y. and Kim, J. , Query term expansion and reweighting using term co-occurrence similarity and fuzzy inference, Proceedings of the Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, Canada, Vol. 2, pp. 715-720, 2001.
Index Terms

Computer Science
Information Sciences

Keywords

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