An Application of Approximate Ontology Matching in eResponse
Maurizio Marchese, Pavel Shvaiko, Lorenzino Vaccari, Juan Pane · Unitn Eprints Research (Università Degli Studi di Trento) · 2008
Ontology matching is a key problem in many metadata intensive application domains, including emergency response, data integration, peer-to-peer information sharing, web service composition, and query answering on the web. In this paper we present an emergency response scenario based on the organizational model as used in Trentino region, Italy. We provide a formalization of this scenario with the help of lightweight coordination calculus. Then, we discuss an automatic approximate structure preserving matching algorithm which we applied within the emergency response scenario. The evaluation results, though preliminary, are encouraging.