Skip to Main content Skip to Navigation
New interface
Conference papers

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).
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/hal-03434657
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Thursday, November 18, 2021 - 1:39:12 PM
Last modification on : Friday, November 19, 2021 - 4:24:05 PM
Long-term archiving on: : Saturday, February 19, 2022 - 7:04:38 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2023-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

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⟩

Share

Metrics

Record views

21