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Relational Contexts and Conceptual Model Clustering

Abstract : In recent years, there has been a growing interest in the use of reference conceptual models to capture information about complex and sensitive business domains (e.g., finance, healthcare, space). These models play a fundamental role in different types of critical semantic interoperability tasks. Therefore, it is essential that domain experts are able to understand and reason with their content. In other words, it is important for these reference conceptual models to be cognitively tractable. This paper contributes to this goal by proposing a model clustering technique that leverages the rich semantics of ontology-driven conceptual models (ODCM). In particular, the technique employs the notion of Relational Context to guide automated model breakdown. Such Relational Contexts capture all the information needed for understanding entities “qua players of roles” in the scope of an objectified (reified) relationship (relator).
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Conference papers
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Submitted on : Thursday, November 18, 2021 - 1:39:12 PM
Last modification on : Friday, November 19, 2021 - 4:24:05 PM
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Giancarlo Guizzardi, Tiago Prince Sales, João Almeida, Geert Poels. Relational Contexts and Conceptual Model Clustering. 13th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM 2020), Nov 2020, Riga, Latvia. pp.211-227, ⟨10.1007/978-3-030-63479-7_15⟩. ⟨hal-03434657⟩



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