INGAR   05399
INSTITUTO DE DESARROLLO Y DISEÑO
Unidad Ejecutora - UE
artículos
Título:
Technologies for Data Semantic Modeling
Autor/es:
CALIUSCO, MARÍA LAURA; GALLI, MARÍA ROSA; CHIOTTI, OMAR
Revista:
International Journal of Metadata, Semantics and Ontology
Editorial:
Inderscience Publisher
Referencias:
Año: 2006 vol. 1 p. 320 - 331
ISSN:
1744-2621
Resumen:
The explicit modeling of data semantics promises to drive information integration technology to a new level of flexibility and automation. However, nowadays, the inclusion of data semantic modelling into the 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 modeling languages that make the task of information semantic definition friendly for people who has not background knowledge in semantic modeling techniques proposed by Artificial Intelligence techniques. In addition, we present a prototype that implements these languages.