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ExpO: towards explaining ontology-driven conceptual models
Free University of Bozen-Bolzano, Bolzano, Italy.
Umeå University, Faculty of Science and Technology, Department of Computing Science. Free University of Bozen-Bolzano, Bolzano, Italy.ORCID iD: 0000-0001-5174-9693
University of Twente, Enschede, Netherlands; Stockholm University, Stockholm, Sweden.
2024 (English)In: Research Challenges in Information Science: 18th International Conference, RCIS 2024, Guimarães, Portugal, May 14–17, 2024, Proceedings, Part II / [ed] João Araújo; Jose Luis de la Vara; Maribel Yasmina Santos; Saïd Assar, Springer Nature, 2024, p. 20-28Conference paper, Published paper (Refereed)
Abstract [en]

Ontology-driven conceptual models play an explanatory role in complex and critical domains. However, since those models may consist of a large number of elements, including concepts, relations and sub-diagrams, their reuse or adaptation requires significant efforts. While conceptual model engineers tend to be biased against the removal of information from the models, general users struggle to fully understand them. The paper describes ExpO—a prototype that addresses this trade-off by providing three components: (1) an API that implements model transformations, (2) a software plugin aimed at modelers working with the language OntoUML, and (3) a web application for model exploration mostly designed for domain experts. We describe characteristics of every component and specify scenarios of possible usages.

Place, publisher, year, edition, pages
Springer Nature, 2024. p. 20-28
Series
Lecture Notes in Business Information Processing (LNBIP), ISSN 1865-1348, E-ISSN 1865-1356 ; 514
Keywords [en]
Ontology-Driven Conceptual Models, OntoUML, Pragmatic explanation, Software Tools
National Category
Computer Sciences Computer Systems
Identifiers
URN: urn:nbn:se:umu:diva-225021DOI: 10.1007/978-3-031-59468-7_3ISI: 001267235100003Scopus ID: 2-s2.0-85193607972ISBN: 9783031594670 (print)ISBN: 9783031594687 (electronic)OAI: oai:DiVA.org:umu-225021DiVA, id: diva2:1866586
Conference
18th International Conference, RCIS 2024, Guimarães, Portugal, May 14–17, 2024
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)German Research Foundation (DFG), 500249124Available from: 2024-06-07 Created: 2024-06-07 Last updated: 2025-04-24Bibliographically approved

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Calvanese, Diego

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Total: 191 hits
CiteExportLink to record
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Citation style
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