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Reseach Article

A Comparative Analysis of Ontology and Schema Matching Systems

by K. Saruladha, Dr. G. Aghila, B. Sathiya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 34 - Number 8
Year of Publication: 2011
Authors: K. Saruladha, Dr. G. Aghila, B. Sathiya
10.5120/4118-5981

K. Saruladha, Dr. G. Aghila, B. Sathiya . A Comparative Analysis of Ontology and Schema Matching Systems. International Journal of Computer Applications. 34, 8 ( November 2011), 14-21. DOI=10.5120/4118-5981

@article{ 10.5120/4118-5981,
author = { K. Saruladha, Dr. G. Aghila, B. Sathiya },
title = { A Comparative Analysis of Ontology and Schema Matching Systems },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 34 },
number = { 8 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 14-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume34/number8/4118-5981/ },
doi = { 10.5120/4118-5981 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:20:33.715964+05:30
%A K. Saruladha
%A Dr. G. Aghila
%A B. Sathiya
%T A Comparative Analysis of Ontology and Schema Matching Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 34
%N 8
%P 14-21
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In a distributed and open system, such as the semantic web and many other applications like information integration, peer- peer communication, etc., the heterogeneity among the data increases enormously. To solve the heterogeneity issue various matching techniques are proposed and large-scale matching needs especially to be supported for different kinds of ontologies and XML schemas due to their increasing use and size, e.g., in life science applications, e-business and web. In this paper the techniques which are scalable like early pruning, partitioning, parallelization and some renowned scalable matching techniques are discussed. In addition to it, a brief comparison of the discussed matching techniques is also presented.

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Index Terms

Computer Science
Information Sciences

Keywords

Similarity Measure Schema Matching Ontology Matching Ontology Alignment Image Segmentation K means