Authors:
Mohamed Frikha
;
Mohamed Mhiri
and
Faiez Gargouri
Affiliation:
MIRACL Laboratory, ISIM Institute, Tunisia
Keyword(s):
Information System, Ontology, semantic relationships, similarity measurement, Conceptual Schema.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Modeling Concepts and Information Integration Tools
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Symbolic Systems
Abstract:
Current applications’ modelling becomes increasingly complex. Indeed, it requires a hard work to study the particular domain in order to determine its main concepts and its relationships. The designers can have, in certain case many ambiguities concerning the comprehension of the domain to be modelled and the concepts to be used. In order to solve these ambiguities, we used ontology like a reference to give more semantics to conceptual schemas. For that, we used an approach for an ontology building to represent the pertinent concepts for a domain. In this paper, we propose a set of allowing determining the resemblance between the concepts of a conceptual schema and the ontology. Then, we propose an algorithm using these similarity measurements to determine the semantic relationships.