GRO AND WeGO - ALGORITHMIC APPROACHES TO INTEGRATE THE HETROGENOUS DATABASES AND ENHANCE THE EVALUATION OF ONTOLOGY MAPPING SYSTEMS IN THE SEMANTIC WEB

Abstract

In the present day world, where information driven economy and information enhanced living standards rule everything, the sources of data from which the information is derived, are highly heterogeneous. The heterogeneity necessitates a mechanism for integrating data, before it is presented to the user. The internet and WWW are forming the backbone of information. Semantic web is an initiative in achieving the goal of 'machine processed information' being available to us than requiring human intelligence for processing information. This work is carried out to address the heterogeneity problem that exists among data sources and provides a solution through the application of ontology. Ontology is a conceptual tool for handling semantic heterogeneity. The algorithmic approach is adopted in the mapping solution system. The elements of ontology are compared and similarity analysis is carried out to arrive at the degree of matching of individual nodes as well as the ontology in totality for an ontology alignment.