A manufacturing service model contains both schema and schema-compliant descriptions of suppliers service information, such as locations, areas of specialization, capacities, certifications, software capabilities, and material processing capabilities. This model is essential for correct communication of the information. Presently, this information is communicated by using models that are proprietary to specific industry communities and that provide limited access to and precision of the information. In this paper, we describe deployment of the merged-model-based semantic mediation approach to enhance access and precision of proprietary manufacturing service models that are encoded in relational databases (RDBs). The approach relies on a merged ontology, mappings between the Web Ontology Language (OWL) encoded proprietary manufacturing service models, and OWL description logic inference. We describe the deployment on an example manufacturing sourcing use case by describing the semantic mediation steps enabled by the approach. We characterize the first step that encodes the proprietary manufacturing service model in OWL into three encoding conventions and discuss their behaviors associated with the semantic mediation. The behaviors lead to a conclusion that the ontology-oriented convention is most suitable for semantic mediation in OWL. In the next step, developments of the mapping ontologies between the OWL-encoded proprietary models and the merged ontology are discussed. Then in the deployment stage, it is shown that the semantic mediation can be deployed in two ways, namely, single community, which shares same proprietary service model, and multi-community, which uses differing proprietary service models. The results of the deployment demonstrates that the single community deployment enables precise and higher access to information within the community while the multi-community deployment enables interoperable access to information across the communities.
Citation: International Journal of Computer Integrated Manufacturing
Pub Type: Journals
semantic mediation, OWL, manufacturing service, mapping, RDB-to-RDF, RDB-to-OWL, integration, interoperability