Service-oriented semi-automatic ontology mapping bridging

With the advent of Semantic Web, knowledge-based interoperability faces a new technological shift, in which ontologies and semantic web technologies play a major role. Exploiting the explicit semantic description of the domain of discourse allows reasoning and automatically acquiring semantic relations between two different domains of discourses. Such semantic relations would be further applied in converting data or documents between such domains. This process is named Ontology Mapping. This paper proposes a semi-automatic mapping process, based in the idea that while automatic matching algorithms do not provide enough information to overcome semantic heterogeneity, they provide valuable similarities measurements between ontologies' entities, which can be combined into an over-all similarity measure according to each service specific requirements.