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Reseach Article

A Hybridized Framework for Ontology Modeling incorporating Latent Semantic Analysis and Content based Filtering

by Pushpa C. N., Gerard Deepak, Thriveni J., Venugopal K. R.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 150 - Number 11
Year of Publication: 2016
Authors: Pushpa C. N., Gerard Deepak, Thriveni J., Venugopal K. R.
10.5120/ijca2016911665

Pushpa C. N., Gerard Deepak, Thriveni J., Venugopal K. R. . A Hybridized Framework for Ontology Modeling incorporating Latent Semantic Analysis and Content based Filtering. International Journal of Computer Applications. 150, 11 ( Sep 2016), 33-41. DOI=10.5120/ijca2016911665

@article{ 10.5120/ijca2016911665,
author = { Pushpa C. N., Gerard Deepak, Thriveni J., Venugopal K. R. },
title = { A Hybridized Framework for Ontology Modeling incorporating Latent Semantic Analysis and Content based Filtering },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 150 },
number = { 11 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 33-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume150/number11/26140-2016911665/ },
doi = { 10.5120/ijca2016911665 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:55:44.345039+05:30
%A Pushpa C. N.
%A Gerard Deepak
%A Thriveni J.
%A Venugopal K. R.
%T A Hybridized Framework for Ontology Modeling incorporating Latent Semantic Analysis and Content based Filtering
%J International Journal of Computer Applications
%@ 0975-8887
%V 150
%N 11
%P 33-41
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the era of Semantic Web, organization of the necessary Semantic Information becomes quite vital for improving overall retrieval efficiency of the Semantic Web contents. Ontologies are one of the most important and yet the most primary entities of the semantic web which is used for representing and modeling knowledge. Authoring of ontologies must be done in a highly systematic and an organized manner in order to validate the correctness of the ontologies authored. Several traditional ontology authoring systems are based on Semantic Wikis which use graphs to store the ontological entities that increase the overall complexity of ontologies which needs to be overcome. A Hash Table based ontology organization strategy is proposed which is further empowered by a Semantic Latent Analysis to compute the ontological relevance. Several agents are incorporated to check the correctness of ontologies. The proposed framework is further enhanced with Content Based Filtering for yielding better results. The proposed methodology yields an accuracy percentage of 88.99.

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Index Terms

Computer Science
Information Sciences

Keywords

Content Based Filtering Hash Table Knowledge Modeling Ontologies Semantic Latent Analysis Semantic Web