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
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.