Semantic Interoperability - Information Integration by using Ontology Mapping in Industrial Environment

Interoperability requires two components technical and information integration. Most of the enterprises have solved the problem of technical integration but at the moment they are struggling with information integration. The challenge in information integration is to preserve the meaning of information in different context. Semantic technologies can provide means for information integration by representing the meaning of information. This paper introduces how to use semantics by developing ontology models based on enterprise information. Different ontology models from diverse sources and applications can be mapped together in order to provide integrated view for different information sources. The domain area of this case study is heavy industrial environment with multiple applications and data sources.