A semi-automated system for interoperability assessment: an ontology-based approach
Autor: | Hervé Panetto, Gabriel da Silva Serapião Leal, Wided Guédria |
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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: |
Information Systems and Management
enterprise interoperability Computer science business.industry 05 social sciences Interoperability knowledge- based system 02 engineering and technology [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering Ontology (information science) Enterprise interoperability Computer Science Applications Knowledge-based systems ontology-based system 0502 economics and business 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing ontology interoperability assessment Software engineering business 050203 business & management |
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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