Research Article
Personalized Web Search and User Profile Mining using Ontology
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 86 - Issue 3 |
| Published: January 2014 |
| Authors: B. Umamaheswari, Pramod Patil |
10.5120/14967-3145
|
B. Umamaheswari, Pramod Patil . Personalized Web Search and User Profile Mining using Ontology. International Journal of Computer Applications. 86, 3 (January 2014), 26-29. DOI=10.5120/14967-3145
@article{ 10.5120/14967-3145,
author = { B. Umamaheswari,Pramod Patil },
title = { Personalized Web Search and User Profile Mining using Ontology },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 86 },
number = { 3 },
pages = { 26-29 },
doi = { 10.5120/14967-3145 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A B. Umamaheswari
%A Pramod Patil
%T Personalized Web Search and User Profile Mining using Ontology%T
%J International Journal of Computer Applications
%V 86
%N 3
%P 26-29
%R 10.5120/14967-3145
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Ontology is a replica for knowledge portrayal and is used to articulate profile of user in personalized web information extraction. Earlier user profile was created based on either global knowledge base or local repository. This model extracts global knowledge from web crawler and combines it with user preference to obtain user background knowledge. Finally specificity is calculated based on semantic relations is-A and part-Of. The search results are more personalized and accurate. Hence this model is suggested for web information extraction.
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