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An integrated ontology for multi-paradigm modelling for cyber-physical systems
Dominique Blouin, Rima Al-Ali, Holger Giese, Stefan Klikovits, Soumyadip Bandyopadhyay, Ankica Barisic, Ferhat Erata

An integrated ontology for multi-paradigm modelling for cyber-physical systems

Science & Mathematics Published 2021 Verification Pending

Overview & Synopsis

This chapter presents the Multi-Paradigm Modelling for Cyber-Physical Systems (MPM4CPS) ontology. This ontology integrates the Shared, MPM and CPS ontologies respectively introduced in Chapters 2, 3 and 4. It includes cross-cutting notions such as viewpoints, model-based development processes and modelling paradigms that together relate the formalisms and workflows (and their paradigms) to the part of CPSs developed with these formalisms. A brief state of the art on these notions is first presented, on which the MPM4CPS ontology builds. An overview of the ontology is then developed by introducing its main classes and properties. The validation of the ontology is finally presented by showing how it can adequately model the two case studies briefly introduced in Chapter 2. The chapter also discusses perspectives and future work on this integrated ontological framework, which can serve as a basis to develop model management solutions to relate and combine modelling languages and tools, in order to better develop cyber-physical systems with appropriate formalismes and workflows.

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Document Information

Document Title An integrated ontology for multi-paradigm modelling for cyber-physical systems
Author / Organization Dominique Blouin, Rima Al-Ali, Holger Giese, Stefan Klikovits, Soumyadip Bandyopadhyay, Ankica Barisic, Ferhat Erata
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2021
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-109280
Original Source Link Visit Source Page on hal.science »