Volume 2 Number 1 (Feb. 2010)
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IJCEE 2010 Vol.2 (1): 1-6 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2010.V2.104

A Document Retrieval System with Combination Terms Using Genetic Algorithm

S.Siva Sathya and Philomina Simon

Abstract—As information has been increasing enormously in the world, it is difficult to retrieve the proper information as per the user satisfaction. In our proposed work, document crawler is used for gathering and extracting information from the documents available from online databases and other databases. Since search space is too large, Genetic Algorithm (GA) is used to find out the combination terms. In the proposed document retrieval system, we extract the keywords from the document crawler and with these keywords GA generates combination terms. The proposed work is having three main features: First is to extract keywords and other information from the database by a document crawler. Second is to generate the combination terms using genetic algorithm. Third, results generated from the GA are applied to information retrieval system to generate better results. From the results obtained, the relevance of the documents are verified using evaluation measures namely precision and recall.

Index Terms—Combination terms, Document Retrieval, Genetic Algorithm, Document Crawler, keyword

Cite: S.Siva Sathya and Philomina Simon, "A Document Retrieval System with Combination Terms Using Genetic Algorithm," International Journal of Computer and Electrical Engineering vol. 2, no. 1, pp. 1-6, 2010.

General Information

ISSN: 1793-8163
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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