TY  - JOUR
T1  - Ontologies for Temporal Estimation of Interoperability in Enterprise
AU - Tayeb, Sabria Hadj AU - Noureddine, Myriam 
JO  - International Journal of Soft Computing
VL  - 12
IS  - 4
SP  - 270
EP  - 279
PY  - 2017
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2017.270.279
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2017.270.279
KW  - Ontology
KW  -relationship
KW  -interoperability
KW  -time
KW  -evolution
AB  - The concept of interoperability has become a major challenge that must be taken into account when
attempting inter-enterprise collaboration or even within an enterprise. Indeed, a lack of interoperability can lead
to the appearance of problems, dysfunctions, slowdowns or more generally, losses of performance which
generate a decrease in confidence between the partners. Among the existing approaches to ensure
interoperability, ontologies are the most used. Ontologies are formal systems whose objective are to represent
the knowledge of a domain by means of concepts, defined and structured in relation to each other. The
ontological representation of knowledge ensures the maintenance of the coherence and integrity of the system
as well as the evolution of the representation without changing the structure. On the other hand in order to face
increasing competition, industrial enterprises must improve their organizations and operations in order to meet
the requirements of quality, cost and time which are major support for industrial performance. This study
presents ontologies for temporal estimation of interoperability in enterprise. Our approach consists in extracting
the semantic relations from a created ontology and then in estimating the interoperability time in order to
compare it with the real time within a system. The approach is applied to a local enterprise for the marketing of
petroleum products and derivatives. The obtained results illustrate the losses that this enterprise undergoes
in different periods by estimating the interoperability time.
ER  -