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https://doi.org/10.2498/cit.2006.03.02

Latent Semantic Indexing based Intelligent Information Retrieval System for Digital Libraries

Mahmooda Batool
AswaniKumar Ch
Ankush Gupta
Shagun Trehan

Puni tekst: engleski, pdf (275 KB) str. 191-196 preuzimanja: 1.173* citiraj
APA 6th Edition
Batool, M., Ch, A., Gupta, A. i Trehan, S. (2006). Latent Semantic Indexing based Intelligent Information Retrieval System for Digital Libraries. Journal of computing and information technology, 14 (3), 191-196. https://doi.org/10.2498/cit.2006.03.02
MLA 8th Edition
Batool, Mahmooda, et al. "Latent Semantic Indexing based Intelligent Information Retrieval System for Digital Libraries." Journal of computing and information technology, vol. 14, br. 3, 2006, str. 191-196. https://doi.org/10.2498/cit.2006.03.02. Citirano 28.02.2020.
Chicago 17th Edition
Batool, Mahmooda, AswaniKumar Ch, Ankush Gupta i Shagun Trehan. "Latent Semantic Indexing based Intelligent Information Retrieval System for Digital Libraries." Journal of computing and information technology 14, br. 3 (2006): 191-196. https://doi.org/10.2498/cit.2006.03.02
Harvard
Batool, M., et al. (2006). 'Latent Semantic Indexing based Intelligent Information Retrieval System for Digital Libraries', Journal of computing and information technology, 14(3), str. 191-196. https://doi.org/10.2498/cit.2006.03.02
Vancouver
Batool M, Ch A, Gupta A, Trehan S. Latent Semantic Indexing based Intelligent Information Retrieval System for Digital Libraries. Journal of computing and information technology [Internet]. 2006 [pristupljeno 28.02.2020.];14(3):191-196. https://doi.org/10.2498/cit.2006.03.02
IEEE
M. Batool, A. Ch, A. Gupta i S. Trehan, "Latent Semantic Indexing based Intelligent Information Retrieval System for Digital Libraries", Journal of computing and information technology, vol.14, br. 3, str. 191-196, 2006. [Online]. https://doi.org/10.2498/cit.2006.03.02

Sažetak
To the information retrieval research community, a digital library can be viewed as an extended information retrieval system. The primary goal of an information retrieval system is to retrieve all the relevant documents, which are relevant to the user query. Disparities between the vocabulary of the system’s authors and that of their users pose difficulties when information is processed without human intervention. In this paper, we present a novel approach to enhance the efficiency of the information retrieval system based on Latent Semantic Indexing, using intelligent information processing technique. Experiments carried out are giving most encouraging results.

Hrčak ID: 44653

URI
https://hrcak.srce.hr/44653

Posjeta: 1.336 *