A Resourceful Framework Using Combined Agent Ontology Mapping for Semantic Web

Abstract

The combined agent ontology mappings assure that more and more people will start using ontology. The expectations are also high when one thinks about the potential use of these applications. Ontology mapping plays a vital role in achieving heterogeneous data integration on the Semantic Web. This enables a large number of ontology present on the web need to be aligned before one can make use of them. But this ontology can differ in representation, quality, and size that pose different challenges to ontology mapping. The main purpose of implementing this multi agent ontology mapping framework was that operate effectively in the Semantic Web
environment. The aim is to build a framework that solves the difficulty of evaluating ontologies with a large number of concepts. Here a number of domain experts are necessary to evaluate similar concepts in different ontologies. The experts combine their knowledge and experience to create a solution rather than relying on a single person perspective. In this the classes are represented as RDF individuals where the individual properties are defined as OWL data properties. Here both ontologies are valid separately, and no logical reasoned would find inconsistency in them individually. It is easy to see that, once we compare the two ontologies, a considerable amount of uncertainty arises over the classes and its properties and in a way they can be compared. This uncertainty can be contributed to the fact that, owing to the different representations, certain elements will be missing for the comparison.