基于知识的粘合剂选择支持:粘得住吗?

IF 1.4 2区 数学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
SIMON VANDEVELDE, JOOST VENNEKENS, JEROEN JORDENS, BART VAN DONINCK, MAARTEN WITTERS
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引用次数: 0

摘要

随着粘合剂接头在工业中的普及,人们也越来越需要工具来支持选择合适粘合剂的过程。虽然已经存在一些此类工具,但它们要么范围过于有限,要么使用灵活性太低。这项工作提出了一种更先进的工具,该工具是与粘合剂专家团队共同开发的。我们首先提取了专家们关于该领域的知识,并将其形式化到知识库(KB)中。然后,可以使用 IDP-Z3 推理系统从知识库中提取必要的功能。再加上用户友好的交互界面,这就形成了一个易于使用的工具,能够为粘合剂专家提供帮助。为了验证我们的方法,我们以定性访谈的形式进行了用户测试。专家们对该工具给予了高度评价,认为它有助于节省时间并找到更合适的粘合剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge-Based Support for Adhesive Selection: Will it Stick?

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.

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来源期刊
Theory and Practice of Logic Programming
Theory and Practice of Logic Programming 工程技术-计算机:理论方法
CiteScore
4.50
自引率
21.40%
发文量
40
审稿时长
>12 weeks
期刊介绍: Theory and Practice of Logic Programming emphasises both the theory and practice of logic programming. Logic programming applies to all areas of artificial intelligence and computer science and is fundamental to them. Among the topics covered are AI applications that use logic programming, logic programming methodologies, specification, analysis and verification of systems, inductive logic programming, multi-relational data mining, natural language processing, knowledge representation, non-monotonic reasoning, semantic web reasoning, databases, implementations and architectures and constraint logic programming.
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