Integration of ontologies in scope of model and conceptual semantics: Modified approach

Integration of data and knowledge is one of the most important tasks in ensuring the interoperability of information systems at the structural and semantic level. The article examines the semantic approach to the problem of integration of multiple ontologies for interoperability and data and knowledge representation in intelligent information systems. A modification of the approach present itself building maps and establishing relationships in a single model of integration with taking into account coordination of multiple ontologies and conceptual levels of the model semantics. The article presents designed ontological model of integration both data and knowledge. The model allows us to analyze the semantic communication patterns and dependencies that arise between them. For evaluation the semantic proximity of objects of knowledge heterogeneous ontologies authors propose a method based on the harmonization of the attribute, the taxonomic, and the relational similarity measure.