基于OWL ontology的制造业知识管理

Manufacturing knowledge management based on OWL ontology

企业语义网技术可以把领域知识、每天的商业数据等以可重用的方式保存下来。通过把ERP系统的核心知识,比如物料清单(Bill of Material)解耦成模型,而不是代码,这样就可以使组织的知识独立于软件系统,仅在需要的时候被使用。本文中使用OWL ontology的方式进行机械零件知识的存储和信息获取。Protégé及其OWL、PAL插件被用来开发机械领域本体中的类和各种关系。本文主要阐述了一种新型的适合于开发OWL ontology的方法,以及如何利用推理工具基于现有条件推断出新的事实。最后对本体如何被重用进行讨论。

Emerging the Enterprise Semantic Web technology leverages model-driven and looselycoupled data management schemes that can capture domain knowledge, everyday business data and so on in reusable formats. By decoupling core product knowledge of ERP system, such as BOM （Bill of Material）, in models, not in code, it can be repurposed by the many different kinds of ERP systems that might require it. We utility an OWL ontology approach to support mechanical parts knowledge storage and facilitate information retrieval. Protege and its OWL and PAL plugins are used for ontology development of concepts and relationships of mechanism domain. This paper mainly focuses on demonstrating the way in which an OWL ontology is built through using a renovated methodology, and the ability to infer new facts with a description logic classifier, RACER .We also show how this ontology can be reused and shared in Semantic Web.