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Personalized Ontological Framework for Web Information Retrieval

by Smita R. Sankhe, Kavita Kelkar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 19
Year of Publication: 2013
Authors: Smita R. Sankhe, Kavita Kelkar
10.5120/11036-6335

Smita R. Sankhe, Kavita Kelkar . Personalized Ontological Framework for Web Information Retrieval. International Journal of Computer Applications. 65, 19 ( March 2013), 47-51. DOI=10.5120/11036-6335

@article{ 10.5120/11036-6335,
author = { Smita R. Sankhe, Kavita Kelkar },
title = { Personalized Ontological Framework for Web Information Retrieval },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 19 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 47-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number19/11036-6335/ },
doi = { 10.5120/11036-6335 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:21:01.338511+05:30
%A Smita R. Sankhe
%A Kavita Kelkar
%T Personalized Ontological Framework for Web Information Retrieval
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 19
%P 47-51
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In proposed system personalized ontology for web information retrieval is introduced: Specificity and Exhaustively. Specificity describes a subject’s focus on a given keyword. Exhaustively restricts a subject’s semantic space dealing with the topic. Personalized ontology framework is proposed for knowledge representation and reasoning over behavior of users. This framework learns user profiles from both a world knowledge base and user background knowledge. The world knowledge and user background information are used to attempt to discover and specify user background knowledge. From a world knowledge base (WordNet database) personalized ontology are constructed focusing on user occupation. Ontological framework provides a solution to emphasizing global and local knowledge in a single computational framework. We present a personalized user specific ontological framework using WordNet knowledge for web information retrieval which will help to present the relevant search result to the user

References
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Index Terms

Computer Science
Information Sciences

Keywords

Ontology personalization semantic relations world knowledge Background knowledge user profiles web information gathering

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