Maarten Witters

dblp:02/11483 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
0000-0001-6769-1932ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021Theory of computation · 1 · 1 since 2021
YearPublicationVenuePosition
2024 Knowledge-Based Support for Adhesive Selection: Will it Stick?
abstract
Abstract As the popularity of adhesive joints in industry increases, so does the need for tools to support the process of selecting a suitable adhesive. While some such tools already exist, they are either too limited in scope or offer too little flexibility in use. This work presents a more advanced tool, that was developed together with a team of adhesive experts. We first extract the experts’ knowledge about this domain and formalize it in a Knowledge Base (KB). The IDP-Z3 reasoning system can then be used to derive the necessary functionality from this KB. Together with a user-friendly interactive interface, this creates an easy-to-use tool capable of assisting the adhesive experts. To validate our approach, we performed user testing in the form of qualitative interviews. The experts are very positive about the tool, stating that, among others, it will help save time and find more suitable adhesives.
Simon Vandevelde, Joost Vennekens, Jeroen Jordens, Bart Van Doninck, Maarten Witters
Theory Pract. Log. Program.5
2022 Knowledge-Based Support for Adhesive Selection
Simon Vandevelde, Jeroen Jordens, Bart Van Doninck, Maarten Witters, Joost Vennekens
LPNMR4