Barbara Gallina, Gergő László Steierhoffer, Thomas Young Olesen, Eszter Parajdi, Mike Aarup
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引用次数: 0
摘要
法律对机械制造提出了要求。通常,这些要求由(特定领域的)技术委员会进行解释和完善,并以标准的形式发布。在公司层面,这些细化的要求会在内部流程中得到进一步解释、细化和记录。由于(相互依存的)立法和标准激增,认知复杂性随之增加,在公司层面,人工知识管理变得越来越具有挑战性,需要自动化决策支持。尽管有很多旨在实现决策支持自动化的方法,但没有一种能提供令人满意的解决方案。在本文中,我们将重点放在流程合规的知识管理上,并提出了一种新颖的结构化本体。我们的本体论旨在掌握合规问题的认知复杂性(通过追踪进行划分和征服),当涉及到异构的、有时是分布在不同地域的知识驱动型组织结构(法律部门、标准化部门等)并需要进行沟通时,我们的本体论就会发挥作用。我们还以泵制造和安全流程是否符合机械指令和相关协调标准(包括 EN 809:1998+A1)为背景,说明了我们提出的本体论的潜在用途。具体来说,首先,我们确定了各部门和部门间互动的能力特征,然后,我们提出了一组初步的能力问题,对这些已确定的能力进行翻译,接着,我们展示了如何利用本体来检索问题的答案,以及如何利用这些答案来建立合规理由。准确地说,我们提出了一种以两种不同论证符号给出的论证模式,并展示了如何通过利用返回的答案将其部分实例化。该说明还部分涵盖了《机械条例》的合规性,该条例预计将于 2027 年 1 月取代《机械指令》。最后,我们简要介绍了今后打算开展的工作。
Towards an ontology for process compliance with the (machinery) legislations
Legislations impose requirements on the manufacturing of machinery. Typically, these requirements are interpreted and refined by (domain‐specific) technical committees and published in terms of standards. At the company level, these refined requirements are further interpreted, refined, and documented in terms of internal processes. Due to the proliferation of (interdependent) legislations and standards and the consequent increase of the cognitive complexity, at the company level, manual knowledge management is becoming more and more challenging and requires automated decision support. Despite the availability of approaches aimed at automating the decision support, no one offers a satisfactory solution. In this paper, we focus on knowledge management for process compliance and we propose a novel structured ontology. Our ontology aims at mastering (by dividing and conquering via tracing) the cognitive complexity of the compliance problem, when heterogeneous and sometimes geographically distributed knowledge‐driven organizational structures (legal department, standardization department, etc.) are involved and need to communicate. We also illustrate the potential usefulness of our proposed ontology in the context of pumps manufacturing and safety process compliance with the Machinery Directive and related harmonized standards including EN 809:1998+A1. Specifically, first, we identify the competencies that characterize departments and interdepartment interactions, then we formulate an initial set of competency questions that translate those identified competencies, then we show how the ontology can be exploited to retrieve the answers to the questions and how the answers can be exploited to build a justification for compliance. Precisely, we propose an argumentation pattern given in two different argumentation notations, and we show how it can be partly instantiated by exploiting the returned answers. The illustration also partly covers the compliance with the Machinery Regulation, expected to replace the Machinery Directive by January 2027. Finally, we sketch our intended future work.