INVESTIGADORES
CHIOTTI Omar Juan Alfredo
artículos
Título:
Technologies for Data Semantic Modeling
Autor/es:
LAURA CALIUSCO, MARÍA; ROSA GALLI, MARÍA; CHIOTTI, OMAR
Revista:
Intl Journal Of Metadata Semantics And Ontology Special Issue
Editorial:
InderScience Publisher
Referencias:
Lugar: UK; 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.