Knowledge-Based Support for Adhesive Selection: Will it Stick?

Autor:	Vandevelde, Simon, Jordens, Jeroen, Van Doninck, Bart, Witters, Maarten, Vennekens, Joost
Rok vydání:	2023
Předmět:	Computer Science - Artificial Intelligence Computer Science - Logic in Computer Science
Druh dokumentu:	Working Paper
Popis:	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. Under consideration in Theory and Practice of Logic Programming (TPLP). Comment: Under consideration in Theory and Practice of Logic Programming (TPLP)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2311.06302 Zobrazit plný text záznamu View this record from Arxiv