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

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Research Challenges in Information Science (RCIS 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 446))

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Abstract

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.

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Notes

  1. 1.

    A formal definition of these stereotyped relations is given in [7] and in [2] for those relations that include Events.

  2. 2.

    Unfortunately, incidents like this from time to time happen in real life, e.g., https://www.webmd.com/heart-disease/news/20210614/danish-soccer-player-suffered-cardiac-arrest-during-euro-match.

  3. 3.

    Hereinafter, the default cardinality constraints ‘\(*\)’ and ‘\(0..*\)’ are not shown in the models, as well as ‘1’ on the side of diamonds in parthood relations. For visual economy, when we have more than one part type connected to the same whole type, we join these different parthood relations in the same diamond-head (on the end connected to the whole). Parthood, nonetheless, is still defined as a binary relation.

  4. 4.

    This is called the Principle of Event Expansion [17].

  5. 5.

    For details, why this is the case, see Table 1 in [7].

  6. 6.

    For the definition of essential and inseparable parthood, we refer to [9].

  7. 7.

    The interested reader can refer to the current version of the Visual Paradigm plugin with supported abstraction functionality on https://github.com/mozzherina/ontouml-vp-plugin.git, and the corresponding server on https://github.com/mozzherina/ontouml-server.git.

  8. 8.

    https://github.com/unibz-core/ontouml-models.

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Authors and Affiliations

  1. Free University of Bozen-Bolzano, 39100, Bolzano, Italy

    Elena Romanenko, Diego Calvanese & Giancarlo Guizzardi

  2. Umeå University, 90187, Umeå, Sweden

    Diego Calvanese

  3. University of Twente, 7500, Enschede, The Netherlands

    Giancarlo Guizzardi

Authors
  1. Elena Romanenko
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  2. Diego Calvanese
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  3. Giancarlo Guizzardi
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Corresponding author

Correspondence to Elena Romanenko .

Editor information

Editors and Affiliations

  1. University of Twente, Enschede, The Netherlands

    Renata Guizzardi

  2. University of Geneva, CUI, Carouge, Switzerland

    Jolita Ralyté

  3. Polytechnic University of Catalonia, Barcelona, Spain

    Xavier Franch

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Romanenko, E., Calvanese, D., Guizzardi, G. (2022). Abstracting Ontology-Driven Conceptual Models: Objects, Aspects, Events, and Their Parts. In: Guizzardi, R., Ralyté, J., Franch, X. (eds) Research Challenges in Information Science. RCIS 2022. Lecture Notes in Business Information Processing, vol 446. Springer, Cham. https://doi.org/10.1007/978-3-031-05760-1_22

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  • DOI: https://doi.org/10.1007/978-3-031-05760-1_22

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