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

Proc. of the 16th Int. Conf. on Research Challenges in Information Science (RCIS 2022). Volume 446 of Lecture Notes in Business Information Processing. 2022.

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.

@inproceedings{RCIS-2022,
   title = "Abstracting Ontology-Driven Conceptual Models:  Objects, Aspects,
Events, and their Parts",
   year = "2022",
  author = "Elena Romanenko and Diego Calvanese and Giancarlo Guizzardi",
   booktitle = "Proc. of the 16th Int. Conf. on Research Challenges in
Information Science (RCIS 2022)",
   pages = "372--388",
   volume = "446",
   publisher = "Springer",
   series = "Lecture Notes in Business Information Processing",
   doi = "10.1007/978-3-031-05760-1_22",
}