communication and information exchange in inter-enterprise, multi-disciplinary engineering design teams has been developed and encoded in the standard semantic web language. The proposed approach focuses on how to support information autonomy that allows the individual team members to keep their own preferred languages or information models rather than requiring them all to adopt standardized terminology. The MSE Ontology Model provides efficient access by common mediated meta-models across all engineering design teams through semantic matching. This paper also shows how the primitives of Web Ontology Language (OWL) can be used for expressing simple mappings between the mediated MSE Ontology Model and individual ontologies.

Abstract:Communication, knowledge sharing and awareness of available expertise are complex issues for any multi-discipline team. Complexity increases substantially in extended enterprise environments. The concepts of an MSE moderator have previously been considered in environments with shared information models and vocabularies. These concepts are now translated to the realm of extended enterprises where inevitably individual partners will have their own terminology and information sources. An MSE ontology is proposed to enable the operation of an extended enterprise MSE Moderator, to provide common understanding of manufacturingrelated terms, and therefore to enhance the semantic interoperability and reuse of knowledge resources within globally extended manufacturing teams.

This paper discusses a semantic web architecture for formation of an extended project team manufacturing system engineering moderator (EEMSEM) which includes four major modules: ontology acquisition, ontology mapping, knowledge acquisition, and design moderation. This collaborative system architecture focuses on how to support information autonomy that allows individual enterprises to keep their own preferred terminology or languages rather than requiring them to adopt a single standardized vocabulary. Different engineering information terminologies are interpreted and automatically connected to the corresponding terminologies through mapping into the mediated ontology model. A case study is provided to demonstrate how the EEMSEM applies its ontology during the moderation of an extended enterprise, supply chain focused project.

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