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An analysis of OWL-based semantic mediation approaches to enhance manufacturing service capability models

机译：基于OWL的语义中介方法增强制造服务能力模型的分析

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摘要

The exchange of accurate, computer-interpretable information is critical in today's dynamic supply chains in which manufacturers come and go as needed. This exchange begins when manufacturers, who hope to join the supply chain, provide the OEM (original equipment manufacturer) with information regarding their production capabilities. These capabilities are represented electronically in what are called manufacturing service capability (MSC) models. These models are frequently proprietary, which makes them difficult to access, and imprecise, which makes them difficult to use. Web Ontology Language (OWL) is a powerful language for capturing the semantics of such models. OWL can enhance both precision and accessibility, but it requires semantic mediation to resolve semantic conflicts and more importantly to enhance model semantics. Semantic-mediation approaches can generally be classified into two approaches mapping-based and reference-ontology-based. This paper characterises and compares the two approaches. Characterisation is based on examples of proprietary MSC models and by deployment criteria including mediation quality, scalability, evolution, and knowledge organisation. Comparison is based on the behaviours and trade-offs of the two approaches in the context of these deployment criteria. The paper also provides a decision-making template associated with these criteria. Finally, the paper uses this template to show under what conditions each mediation technique is preferred.
机译：在当今动态的供应链中，制造商可以根据需要来去去往，准确的计算机可解释信息的交换至关重要。这种交流始于希望加入供应链的制造商向OEM（原始设备制造商）提供有关其生产能力的信息。这些能力以所谓的制造服务能力（MSC）模型以电子方式表示。这些模型通常是专有的，这使得它们难以访问，并且不精确，这使得它们难以使用。 Web本体语言（OWL）是一种功能强大的语言，可捕获此类模型的语义。 OWL可以提高精度和可访问性，但是它需要语义中介来解决语义冲突，更重要的是要增强模型语义。语义中介方法通常可以分为基于映射的方法和基于参考本体的方法。本文描述并比较了这两种方法。表征基于专有MSC模型的示例以及包括中介质量，可伸缩性，演进和知识组织在内的部署标准。在这些部署标准的背景下，比较是基于两种方法的行为和权衡。本文还提供了与这些标准关联的决策模板。最后，本文使用该模板来说明在哪种条件下首选每种调解技术。

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