Abstracting Ontology-Driven Conceptual Models: Objects, Aspects, Events, and Their Parts

Autor:	Romanenko, Elena, Calvanese, Diego, Guizzardi, Giancarlo, Guizzardi, Renata S. S., Ralyté, Jolita, Franch, Xavier
Přispěvatelé:	Services, Cybersecurity & Safety
Rok vydání:	2022
Předmět:	Complexity management of conceptual models OntoUML Conceptual model abstraction
Zdroj:	Research Challenges in Information Science ISBN: 9783031057595 Research Challenges in Information Science: 16th International Conference, RCIS 2022, Barcelona, Spain, May 17-20, 2022, Proceedings, 446, 372-388
DOI:	10.1007/978-3-031-05760-1_22
Popis:	Ontology-driven conceptual models are widely used to capture information about complex and critical domains. Therefore, it is essential for these models to be comprehensible and cognitively tractable. Over the years, different techniques for complexity management in conceptual models have been suggested. Among these, a prominent strategy is model abstraction. This work extends an existing strategy for model abstraction of OntoUML models that proposes a set of graph-rewriting rules leveraging on the ontological semantics of that language. That original work, however, only addresses a set of the ontological notions covered in that language. We review and extend that rule set to cover more generally types of objects, aspects, events, and their parts.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::650a7444a792bc6b3c2f7df6d179b2f7 https://doi.org/10.1007/978-3-031-05760-1_22 Zobrazit plný text záznamu