Bridging eGovernment Applications using Ontology-to-Ontology Message Translation

Developers have built many eGovernment applications using local ontologies to provide a meta-data description of what their service does, how it works, and how to invoke it. Every day, more of these local ontologies are written and posted on web servers around the world. Consequently, effective bridging of semantic web applications for eGovernment is proving to be a challenge. This paper briefly describes a new technique to bridging disjoint semantic web applications by automatically aligning their ontologies and performing message translation. The challenge is to create a tool to increase efficiency of alignment without reducing accuracy. We demonstrate our solution in an eGovernment scenario of translating driver’s license information between two services in different U.S. states.