Towards an Ontology based integrated Framework for Semantic Web
This addresses interoperability issues for users dealing with multiple ontologies in semantic web applications, but it appears incremental as it builds on existing ontology merging concepts.
The paper tackles the problem of low interoperability between heterogeneous ontologies by proposing an ontology merging methodology to create a single global ontology from XML data sources, aiming to capture and maintain all knowledge from these sources.
This Ontologies are widely used as a means for solving the information heterogeneity problems on the web because of their capability to provide explicit meaning to the information. They become an efficient tool for knowledge representation in a structured manner. There is always more than one ontology for the same domain. Furthermore, there is no standard method for building ontologies, and there are many ontology building tools using different ontology languages. Because of these reasons, interoperability between the ontologies is very low. Current ontology tools mostly use functions to build, edit and inference the ontology. Methods for merging heterogeneous domain ontologies are not included in most tools. This paper presents ontology merging methodology for building a single global ontology from heterogeneous eXtensible Markup Language (XML) data sources to capture and maintain all the knowledge which XML data sources can contain