On the other hand, semantics is the intended meaning. In computing, semantics is the assumed or explicit set of understandings used in a system to give data meaning. Semantic interoperability is the foundation of a SOA implementation. It ensures that service consumers and providers exchange data consistently and flexibly.

Interoperability wasn’t a concern years ago when manufacturing started developing IT systems. Manufacturing has invested heavily in creating large, complex, heterogeneous IT systems to support critical business processes. This investment must be maintained. But to remain competitive, manufacturing must find ways to seamlessly integrate the disparate manufacturing applications within its enterprise business systems and with its suppliers. To simplify the integration of disparate manufacturing systems, semantic manufacturing interoperability should be viewed as a necessity.

Manufacturing interoperability means sharing information seamlessly among the different manufacturing and business applications in the enterprise and with the extended enterprise. This information sharing is now a necessity as well as a challenge. Since interoperability is achieved by implementing standards and semantics is achieved by implementing ontology, this article explores the opportunities and challenges of manufacturing semantic interoperability and focuses on interoperability as a foundation for an enterprise-wide SOA adaptation strategy. Ontology deserves another article. We’ll also identify the interoperability standards that apply when sharing and exchanging information with partners, and between the plant systems and the business systems (P2B).