The methodology for finding suitable ontology matching approaches

Interoperability has gained in importance and become an essential issue within the Semantic Web community. The more standardized and widespread the data manipulation tools are, the easier and more attractive using the Semantic Web approach has become. Though Semantic Web technologies can support the unambiguous identification of concepts and formally describe relationships between concepts, thereby allowing the representation of data in a more meaningful and more machine-understandable way, Web developers are still faced with the problem of semantic interoperability, which stands in the way of achieving the Web’s full potential. To attain semantic interoperability, systems must be capable of exchanging data in such a way that the precise meaning of the data is readily accessible, and the data itself can be translated by any system into a form that it understands. Hence, a central problem of interoperability and data integration issues in Semantic Web vision is schema or ontology matching and mapping. Considering this situation in SemanticWeb research, wewish to contribute to the enhancement of (semantic) interoperability by contributing to the ontology matching solution. The number of use cases for ontology matching justifies the great importance of this topic in the Semantic Web. Furthermore, the development and existence of tried and tested ontology matching algorithms and support tools will be one of the crucial issues that may have a significant impact on future development. Therefore, we have developed aMetadata-basedOntologyMatching (MOMA) Framework that addresses data integration and the interoperability issue by creating and maintaining awareness of the link between matching algorithms and various ontologies. Our approach allows for a more flexible manual and (semi-)automatic deployment of matching algorithms, depending on the specific requirements of the application (e.g. suitability to certain types of input) to which the matchers are to be utilized. Since it is difficult to theoretically compare the existing approaches due