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A Comparative Analysis of Ontology and Schema Matching Systems

Author(s): K. Saruladha | Dr. G. Aghila | B. Sathiya

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: 34;
Issue: 8;
Start page: 14;
Date: 2011;
Original page

Keywords: Similarity Measure | Schema Matching | Ontology Matching | Ontology Alignment | Image Segmentation | K means

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 largescale 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, ebusiness 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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