用历史问题库量化设计问题的新颖性，自动化评估更高效。
Supporting Assessment of Novelty of Design Problems Using Concept of Problem SAPPhIRE
- 基于SAPPhIRE模型在多抽象层级比对问题文本相似度。
- 通过与历史问题库最小距离衡量当前问题集新颖性。
- 适合需批量评估创新性的产品设计与专利研发人员。
本文提出一种基于因果关系SAPPhIRE模型的框架，用于评估设计问题的新颖性。新颖性定义为当前问题与参考问题数据库中历史问题的最小距离，该距离通过在SAPPhIRE本体的多个抽象层级上比较当前问题与每个历史问题的文本相似性来计算。为验证框架适用性，将从利益相关方收集的某产品当前问题集，与从专利及其他网络来源获取的历史问题集进行比对，以评估当前问题集的新颖性。该方法旨在通过对比历史记录中的类似问题，更准确地理解当前问题集的创新程度。鉴于文献中现有手动评估方式耗时费力，本文提出并采用自动化评估方法，以降低时间复杂度，提升大规模问题陈述评估的可扩展性。
原文摘要 · Abstract (English)
This paper proposes a framework for assessing the novelty of design problems using the SAPPhIRE model of causality. The novelty of a problem is measured as its minimum distance from the problems in a reference problem database. The distance is calculated by comparing the current problem and each reference past problem at the various levels of abstraction in the SAPPhIRE ontology. The basis for comparison is textual similarity. To demonstrate the applicability of the proposed framework, The current set of problems associated with an artifact, as collected from its stakeholders, were compared with the past set of problems, as collected from patents and other web sources, to assess the novelty of the current set. This approach is aimed at providing a better understanding of the degree of novelty of any given set of current problems by comparing them to similar problems available from historical records. Since manual assessment, the current mode of such assessments as reported in the literature, is a tedious process, to reduce time complexity and to afford better applicability for larger sets of problem statements, an automated assessment is proposed and used in this paper.
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