Title: Technologies for data semantic modelling

Authors: Maria Laura Caliusco, Maria Rosa Galli, Omar Chiotti

Addresses: CIDISI – CONICET, UTN – Facultad Regional Santa Fe, Argentina. ' INGAR-CONICET-CIDISI, UTN – Facultad Regional Santa Fe, Argentina ' INGAR-CONICET-CIDISI, UTN – Facultad Regional Santa Fe, Argentina

Abstract: The explicit modelling of data semantics promises to drive information integration technology to a new level of flexibility and automation. However, nowadays, the inclusion of semantic data modelling into information system development is constrained by the lack of a supporting tool based on appropriate technologies. Our contribution in this paper is based on the specification of modelling languages that make the task of information semantics definition friendly for people who have no background knowledge of semantic modelling techniques, proposed by artificial intelligence techniques. In addition, we present a prototype that implements these languages.

Keywords: data semantic modelling; contextual ontologies; modelling languages; data semantics; information integration; information systems.

DOI: 10.1504/IJMSO.2006.012955

International Journal of Metadata, Semantics and Ontologies, 2006 Vol.1 No.4, pp.322 - 331

Published online: 31 Mar 2007 *

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