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Semantic based Personalized Framework for Information Retrieval

by K. Saravanakumar, Mahesh Moturi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 20 - Number 4
Year of Publication: 2011
Authors: K. Saravanakumar, Mahesh Moturi
10.5120/2423-3254

K. Saravanakumar, Mahesh Moturi . Semantic based Personalized Framework for Information Retrieval. International Journal of Computer Applications. 20, 4 ( April 2011), 14-17. DOI=10.5120/2423-3254

@article{ 10.5120/2423-3254,
author = { K. Saravanakumar, Mahesh Moturi },
title = { Semantic based Personalized Framework for Information Retrieval },
journal = { International Journal of Computer Applications },
issue_date = { April 2011 },
volume = { 20 },
number = { 4 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 14-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume20/number4/2423-3254/ },
doi = { 10.5120/2423-3254 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:06:53.346576+05:30
%A K. Saravanakumar
%A Mahesh Moturi
%T Semantic based Personalized Framework for Information Retrieval
%J International Journal of Computer Applications
%@ 0975-8887
%V 20
%N 4
%P 14-17
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Traditional information retrieval systems are mostly keyword-based and retrieve documents or information by matching keywords. These systems lack a meaningful description for information, so it is difficult for users to find more relevant information. To provide what a user really needs, a framework of information retrieval based on semantics has been proposed in this paper. In this framework the semantics in the user query are identified and these are summarized according to the context. Then the results are classified into possible domains or groups and displayed to user according to his choice from domain the results are re-ranked. By this framework we provide users a convenient and more precise search service with personalization.

References
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  2. P. Nithya, V. Vidya, Dr. L. Ganesan “Development of Semantic Based Information Retrieval using Word-Net Approach” Second International Conference on Computer and Network Technology.
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Index Terms

Computer Science
Information Sciences

Keywords

Semantic Identification Personalization Query processor

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