Annotation of Engineering Models by References to Domain Ontologies
Autor: | Kahina Hacid, Yamine Aït-Ameur |
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Přispěvatelé: | Institut National Polytechnique de Toulouse - INPT (FRANCE), Centre National de la Recherche Scientifique - CNRS (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), Systèmes Multi-Agents Coopératifs (IRIT-SMAC), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Assistance à la Certification d’Applications DIstribuées et Embarquées (IRIT-ACADIE), Institut National Polytechnique (Toulouse) (Toulouse INP), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE) |
Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Information retrieval
Model engineering Computer science Annotation 020207 software engineering Context (language use) 02 engineering and technology Modélisation et simulation [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Domain (software engineering) 0202 electrical engineering electronic engineering information engineering Information system Ontologies Domain knowledge 020201 artificial intelligence & image processing Design models IDEF5 Model-driven architecture computer computer.programming_language Verification and validation |
Zdroj: | MEDI 2016: Model and Data Engineering International Conference on Model and Data Engineering (MEDI 2016) International Conference on Model and Data Engineering (MEDI 2016), Sep 2016, Almeria, Spain. pp.234-244 Model and Data Engineering ISBN: 9783319455464 MEDI |
Popis: | International audience; Complex engineering systems execute within different contexts and domains. The heterogeneity induced by these contexts is usually implicitly handled in the development cycle of such systems. We claim that reducing this heterogeneity can be achieved by handling explicitly the knowledge mined from these domains and contexts. Verification and validation activities are improved due to the expression and verification of new constraints and properties directly extracted from the context and domains associated to the models. In this paper, we advocate the use of domain ontologies to express both domain and context knowledge. We propose to enrich design models that describe complex information systems, with domain knowledge, expressed by ontologies, provided by their context of use. This enrichment is achieved by annotation of the design models by references to ontologies. Three annotation mechanisms are proposed. The resulting annotated models are checked to validate the new minded domain properties. We have experimented this approach in a model driven engineering (MDE) development setting. |
Databáze: | OpenAIRE |
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