Breaking into pieces: An ontological approach to conceptual model complexity management
2018 (English)In: Proceedings - International Conference on Research Challenges in Information Science, IEEE, 2018, p. 1-10Conference paper, Published paper (Refereed)
Abstract [en]
In recent years, there has been a growth in the use of reference conceptual models, in general, and domain ontologies, in particular, to capture information about complex and critical domains. 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 using the models' content. In other words, it is important that conceptual models are cognitively tractable. However, it is unavoidable that when the information of the represented domain grows, so does the size and complexity of the artifacts and models that represent them. For this reason, more sophisticated techniques for complexity management in ontology-driven conceptual models, need to be developed. Some approaches are based on the notion of model modularization. In this paper, we follow the work on model modularization to present an approach for view extraction for the ontology-driven conceptual modeling language OntoUML. We provide a formal definition for ontological views over OntoUML conceptual models that completely leverages on the ontologically well-grounded real-world semantics of that language. Moreover, we present a plug-in tool, particularly developed for an OntoUML model-based editor that implements this formal view structure in terms of queries defined over the OntoUML metamodel embedded in that tool.
Place, publisher, year, edition, pages
IEEE, 2018. p. 1-10
Series
Proceedings of the International Conference on Research Challenges in Information Science, ISSN 2151-1349
Keywords [en]
Complexity Management in Conceptual Modeling, Conceptual Model Modularization, On-toUML, Ontological Views, Data mining, Modeling languages, Modular construction, Semantics, Complexity management, Conceptual model, Modularizations, Ontological approach, Ontology-Driven Conceptual Modeling, Semantic interoperability, Ontology
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hj:diva-65645DOI: 10.1109/RCIS.2018.8406642Scopus ID: 2-s2.0-85050887211ISBN: 9781538665176 (print)OAI: oai:DiVA.org:hj-65645DiVA, id: diva2:1884502
Conference
12th International Conference on Research Challenges in Information Science (RCIS), 29-31 May 2018, Nantes, France
2024-07-172024-07-172024-07-17Bibliographically approved