A ROBUST PROCESS ONTOLOGY FOR MANUFACTURING SYSTEMS INTEGRATION
A ROBUST PROCESS ONTOLOGY FOR MANUFACTURING SYSTEMS INTEGRATION
复制标题
DOI：
--
复制
发表时间：
1998
期刊：
影响因子：
--
通讯作者：
C. Schlenoff;R. Ivester;Amy J. Knutilla
中科院分区：
文献类型：
--
作者：
C. Schlenoff;R. Ivester;Amy J. Knutilla
在所有类型的通信中，共享信息的能力往往受到阻碍，因为信息的含义可能会受到查看和解释信息的上下文的严重影响。这在制造业中尤其如此，因为制造信息的复杂性不断增加，并且越来越需要在各种软件应用程序之间交换这些信息。不同的制造职能可能使用不同的术语来表示完全相同的概念，或者使用完全相同的术语来表示非常不同的概念。通常，与术语相关联的松散定义的自然语言定义包含如此多的模糊性，以至于它们不能使差异明显和/或不能提供足够的信息来解决差异。这个问题的解决方案是开发制造概念和术语的分类法或本体，沿着它们各自的正式和明确的定义。本文重点介绍了在美国国家标准与技术研究所的努力，以确定，正式定义，和结构的语义概念固有的离散制造过程信息的捕获和交换。
In all types of communication, the ability to share information is often hindered because the meaning of information can be drastically affected by the context in which it is viewed and interpreted. This is especially true in manufacturing because of the growing complexity of manufacturing information and the increasing need to exchange this information among various software applications. Different manufacturing functions may use different terms to mean the exact same concept or use the exact same term to mean very different concepts. Often, the loosely defined natural language definitions associated with the terms contain so much ambiguity that they do not make the differences evident and/or do not provide enough information to resolve the differences. A solution to this problem is the development of a taxonomy, or ontology, of manufacturing concepts and terms along with their respective formal and unambiguous definitions. This paper focuses on an effort at the National Institute of Standards and Technology to identify, formally define, and structure the semantic concepts intrinsic to the capture and exchange of discrete manufacturing process information.