Authors:
Mohamed Mhiri
;
Sana Chabaane
;
Achraf Mtibaa
and
Faïez Gargouri
Affiliation:
MIRACL Laboratory, ISIM Institute, Tunisia
Keyword(s):
Ontology, Information systems design, concept, semantic relationships, conceptual relationships.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Enterprise Information Systems
;
Information Engineering Methodologies
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Methodologies, Processes and Platforms
;
Model-Driven Software Development
;
Modeling Formalisms, Languages and Notations
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Software Engineering
;
Symbolic Systems
;
Systems Engineering
Abstract:
Current applications' modelling becomes increasingly complex. Indeed, it requires a hard work to study the particular studied field in order to determine its main concepts and their relationships. The conceptual representations (CR) results of the modelling of such applications can contain structural and semantic errors which are not detectable by current CASE. The solution that we propose is to associate an ontology, for the studied field, as a help to the designers during IS modelling steps. Building such information system’s ontologies require the use of an approach allowing the determination of the concepts and the relationships between these concepts. Using ontologies makes it possible to ensure conceptual representations' semantic coherence for a given field. In this paper, we propose an algorithm for building an information system’s ontology based on the comparison between the concepts and using a set of semantic relationships.