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Data Analysis on Effective Strategies to Enhance the Semantics of OWL Ontologies

Tugay, Tibet (2024) Data Analysis on Effective Strategies to Enhance the Semantics of OWL Ontologies.

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Abstract:OWL has been created to support the development of the Semantic Web, a prime initiative that aims to make the Web more machine-readable and actionable. Many believe that the ontologies created with OWL can be further improved, especially in regards to the interoperability and reusability aspects of the FAIR principles. To this end, gUFO, a lightweight implementation of UFO, can better support the semantics of the OWL ontologies to ensure the FAIR principles are incorporated into the generated models, reducing the possibility of having interoperability problems such as the false agreement problem. This work aimed to contribute to enhancing the semantics of OWL ontologies in the most effective and automated way by analyzing the usage of OWL meta-properties in Scior. Scior is a software that infers the ontological categories of OWL classes through gUFO. The objective of this work was to look for better practices for this process to identify the best initial seeding. Throughout the data analysis, 8 strategies related to the position, sortality, and rigidity of the initial seeding have been examined. The results and the subsequent discussion of them suggest that there are indeed better strategies to adopt while enhancing the semantics of OWL ontologies with Scior.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:https://purl.utwente.nl/essays/101178
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