1. Towards Semantic-Aware Collaborations in Systems Engineering
- Author
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Emma Effa Bella, Stephen Creff, Ali Koudri, Laurent Wouters, IRT SystemX, Modélisation et Vérification (MoVe), Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), and IRT SystemX (IRT SystemX)
- Subjects
Collaborative engineering ,Computer science ,Stakeholder ,Modeling ,Domain Intention ,020207 software engineering ,Web Ontology Language ,02 engineering and technology ,[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE] ,Semantics ,Semantic Integration ,Data science ,Behavioral Semantics ,[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] ,Domain (software engineering) ,Denotation ,Unified Modeling Language ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Semantic integration ,computer ,Ontology Mapping ,Collaborative Engineering ,computer.programming_language - Abstract
International audience; The design of nowadays complex systems requires a collaboration between a diversity of stakeholders: from domain experts to customers. For a collaboration to be efficient, the relevant information have to reach the right stakeholder at the right time in a format that is understandable to him/her. We propose a formal framework to integrate the meaning projected by stakeholders onto their data (the denotation), so that it can be unambiguously used by others. An implementation of this framework, relying on the existing language xOWL (extension of OWL2 with behavioral constructs), is then provided to perform the semantic integration of the captured denotations in an MBSE approach.
- Published
- 2017