A semi-automated system for interoperability assessment: an ontology-based approach

Autor: Hervé Panetto, Gabriel da Silva Serapião Leal, Wided Guédria
Přispěvatelé: Luxembourg Institute of Science and Technology (LIST), Centre de Recherche en Automatique de Nancy (CRAN), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)
Rok vydání: 2019
Předmět:
Zdroj: Enterprise Information Systems
Enterprise Information Systems, Taylor & Francis, 2020, 14 (3), pp.308-333. ⟨10.1080/17517575.2019.1678767⟩
ISSN: 1751-7583
1751-7575
DOI: 10.1080/17517575.2019.1678767
Popis: International audience; A plethora of approaches to assess the ability of companies to interoperate can be found in the literature. Nevertheless, most of the current assessment approaches are following manual-conducted processes, which can be laborious, time-consuming and costly. Therefore, this paper aims at developing a knowledge-based system for supporting an interoperability assessment process using an ontology as its knowledge model. The resulting system allows identifying potential interoperability problems and related solutions based on the knowledge model including information of the assessed enterprise(s). A real business case is presented for evaluating the proposed approach.
Databáze: OpenAIRE
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