An Ontology-Based Data Integration System for Data and Multimedia Sources

Data integration is the problem of combining data residing at distributed heterogeneous sources, including multimedia sources, and providing the user with a unified view of these data. Ontology based Data Integration involves the use of ontology(s) to effectively combine data and information from multiple heterogeneous sources. Ontologies, with respect to the integration of data sources, can be used for the identification and association of semantically corresponding information concepts, i.e. for the definition of semantic mappings among concepts of the information sources. MOMIS is a Data Integration System which performs information extraction and integration from both structured and semistructured data sources. In MOMIS was extended to manage ldquotraditionalrdquo and ldquomultimediardquo data sources at the same time. STASIS is 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 pro-posed. 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 for data and multimedia sources.