Ontology based Data Integration involves the use of ontology(s) to effectively combine data and information from multiple heterogeneous sources. Ontologies can be used in an integration task to describe the semantics of the information sources and to make the contents explicit. With respect to the integration of data sources, they can be used for the identification and association of semantically corresponding information concepts, i.e. for the definition of semantic mapping among concepts of the information sources. MOMIS is a Data Integration System which performs information extraction and integration from both structured and semi-structured data sources. The goal of the STASIS project is to create a comprehensive application suite which allows enterprises to simplify the mapping process between data schemas based on semantics.Moreover, in STASIS, a general framework to perform Ontology-driven Semantic Mapping has been proposed. This paper describes the early effort to combine the MOMIS and the STASIS frameworks in order to obtain an effective approach for Ontology-Based Data Integration.

The MOMIS-STASIS approach for Ontology-Based Data Integration / Beneventano, Domenico; Orsini, Mirko; Po, Laura; Sorrentino, Serena. - ELETTRONICO. - (2009), pp. 29-40. ((Intervento presentato al convegno 1st International Workshop on Interoperability through Semantic Data and Service Integration tenutosi a Camogli, Genova, Italy nel 25 Giugno 2009.

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