Abstract
A recent evolution in the areas of artificial intelligence, database semantics and information systems is the advent of the Semantic Web that requires that software agents and web services exchange meaningful and unambiguous messages. A prerequisite for this kind of interoperability is the usage of an ontology. Currently, not many step-wise ontology engineering methodologies exist. This paper describes an outline of such a methodology based on ORM, a DB conceptual modelling method. The new methodology is to be situated in the ontology engineering framework of DOGMA, developed at VUB STAR Lab. One of the distinctive characteristics is that language related issues are taken into account from the on-set. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Spyns, P. (2005). Adapting the object role modelling method for ontology modelling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3488 LNAI, pp. 276–284). Springer Verlag. https://doi.org/10.1007/11425274_29
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