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Reseach Article

A Survey on Ontology Model for Gathering Web Related Information

Published on December 2014 by Sayali D. Behere, R. B. Wagh
National Conference on Emerging Trends in Information Technology
Foundation of Computer Science USA
NCETIT - Number 1
December 2014
Authors: Sayali D. Behere, R. B. Wagh
fef352bc-3a15-4d6b-b877-d99d87e9b59a

Sayali D. Behere, R. B. Wagh . A Survey on Ontology Model for Gathering Web Related Information. National Conference on Emerging Trends in Information Technology. NCETIT, 1 (December 2014), 18-21.

@article{
author = { Sayali D. Behere, R. B. Wagh },
title = { A Survey on Ontology Model for Gathering Web Related Information },
journal = { National Conference on Emerging Trends in Information Technology },
issue_date = { December 2014 },
volume = { NCETIT },
number = { 1 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 18-21 },
numpages = 4,
url = { /proceedings/ncetit/number1/19148-3014/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Emerging Trends in Information Technology
%A Sayali D. Behere
%A R. B. Wagh
%T A Survey on Ontology Model for Gathering Web Related Information
%J National Conference on Emerging Trends in Information Technology
%@ 0975-8887
%V NCETIT
%N 1
%P 18-21
%D 2014
%I International Journal of Computer Applications
Abstract

A model for knowledge description and formalization, these various ontologies are widely used to represent various user profiles in personalized web information gathering manner. Represent these user profiles, many of these models have evaluate only their knowledge from either a global knowledge base, and also it called as a user local information. In this paper, a personalized ontology model is introduced for knowledge representation and various reasons over user profiles. ontology model learns ontological user profiles from both a world knowledge base and also an user local instance repositories. The ontology model is also developed by comparing other models and in such way that the results shows that this ontology model is successful.

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Index Terms

Computer Science
Information Sciences

Keywords

Fingerprint Features Ontology Local instance repository User profiles Web information gathering.