International Journal of Soft Computing

Year: 2017
Volume: 12
Issue: 4
Page No. 270 - 279

Ontologies for Temporal Estimation of Interoperability in Enterprise

Authors : Sabria Hadj Tayeb and Myriam Noureddine

Abstract: 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.

How to cite this article:

Sabria Hadj Tayeb and Myriam Noureddine, 2017. Ontologies for Temporal Estimation of Interoperability in Enterprise. International Journal of Soft Computing, 12: 270-279.

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