Utilizing PROVE tool to evaluate ontologies

Conference item

Ontology evaluation plays a crucial role in promoting the usability of ontology by ensuring it meets specific requirements. Evaluating an ontology is currently a complex task, typically involving manual and time-consuming efforts. Furthermore, human experts based ontology evaluation is challenging, especially when ontologies become huge and in an iterative development process. PROVE tool is an open-source process modeling tool, aimed to promote computer-aided design and evaluation of process descriptions using coherent, multi-perspective representations. As a proof-of-concept, we utilized PROVE Tool to model and evaluate process descriptions of the Informed Consent Ontology (ICO). We found that a relatively low modeling effort using PROVE Tool can underpin effective evaluation and re-design of the ontology. It is promising to further develop PROVE Tool as a userfriendly ontology validation tool or vice versa, to use PROVE Tool to assist the ontology design, based on insights from rigorous conceptual process modeling.

Authors: Shaked, A; Lin, AY

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: CEUR Workshop Proceedings
• Host title: ER 2024: Companion Proceedings of the 43rd International Conference on Conceptual Modeling: ER Forum, Special Topics, Posters and Demos, October 28-31, 2024, Pittsburgh, Pennsylvania, US
• Pages: 146-150
• Series: CEUR Workshop Proceedings
• Series number: 3849
• Publication date: 2024-11-26
• Acceptance date: 2024-09-05
• Event title: 43rd International Conference on Conceptual Modeling: ER Forum, Special Topics, Posters and Demos (ER 2024)
• Event location: Pittsburgh, Pennsylvania, USA
• Event website: https://resources.sei.cmu.edu/news-events/events/er2024/
• Event start date: 2024-10-28
• Event end date: 2024-10-31
• ISSN: 1613-0073
• Language: English
• Keywords: PROVE tool; ontology evaluation; process modeling; informed consent process