Acquiring advanced properties in ontology mapping.

With the emergence of the Semantic Web, ontologies are being exposed on the Web to support a variety of applications, including enhanced search and discovery, rapid enterprise integration and cross-domain knowledge sharing. This explosion of knowledge sharing on the web is also leading to the formation of knowledge silos and a growing need for integration of these sources. Automated solutions to mapping ontologies are emerging that address this growing need with very promising results. However, most approaches have focused on mapping ontologies using relationships of similarity and equivalence and very few have applied knowledge in upper ontologies. We built algorithms to acquire relationships between ontological components beyond similarity and equivalence that include hyponymy and more importantly, algorithms to map ontologies based on relationships that are specified within the ontologies. These algorithms employ the semantics of OWL in conjunction with online linguistic resources and upper ontologies. Initial test results are promising.