Abstract
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.
| Original language | English |
|---|---|
| Number of pages | 8 |
| Publication status | Published - May 2024 |
| Event | 18th International Conference on Research Challenges in Information Science, RCIS 2024 - Centro Cultural Vila Flor (CCVF) , Guimarães, Portugal Duration: 14 May 2024 → 17 May 2024 Conference number: 18 https://www.rcis-conf.com/rcis2024/ |
Conference
| Conference | 18th International Conference on Research Challenges in Information Science, RCIS 2024 |
|---|---|
| Abbreviated title | RCIS 2024 |
| Country/Territory | Portugal |
| City | Guimarães |
| Period | 14/05/24 → 17/05/24 |
| Internet address |
Keywords
- Ontology-driven conceptual models
- OntoUML
- Pragmatic explanation
- Software tools
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ExpO: Towards Explaining Ontology-Driven Conceptual Models
Romanenko, E., Calvanese, D. & Guizzardi, G., 4 May 2024, Research Challenges in Information Science: 18th International Conference, RCIS 2024, Proceedings. Araújo, J., de la Vara, J. L., Santos, M. Y. & Assar, S. (eds.). 1 ed. Cham: Springer, p. 20-28 9 p. (Lecture Notes in Business Information Processing; vol. 514 LNBIP).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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