A SEMANTIC KNOWLEDGE MANAGEMENT SYSTEM FOR KNOWLEDGE-INTENSIVE MANUFACTURING Jiehan Zhou VTT Electronics, Kaitoväylä 1, 90571 Oulu, Finland Rose Dieng-Kuntz INRIA-Sophia/ACACIA Project, 2004, Route des Lucioles, B.P. 93,06902, Sophia Antipolis Cedex,France ABSTRACT Manufacturing business is changing from capital-intensive and technology-intensive production to knowledge-intensive production. Developing semantics-based computer-aided manufacturing knowledge management becomes a key issue for realizing knowledge-intensive manufacturing. This paper analyzes knowledge requirements for semantic manufacturing knowledge management and presents a semantic manufacturing knowledge management system combining knowledge engineering and Semantic Web. In addition, this paper demonstrates the semantic manufacturing knowledge management system by applying a common manufacturing knowledge query. KEYWORDS Semantic manufacturing knowledge management, knowledge management, semantic Web 1. INTRODUCTION Knowledge-intensive manufacturing becomes a modern manufacturing business. To extend the scope of sharing and reusing product manufacturing knowledge is the key in realizing knowledge-intensive manufac- turing. Tremendous efforts have being carried out in universal product data modeling with respect to Internet technology. For instances, STEP′Standard for the Exchange of Product Model Data″ increasingly puts an emphasis on using XML (eXtensible Markup Language) to represent product knowledge (NIST 2001). PDM (Product data management) is strengthening interoperability by creating a Web Services-enabled foundation (Burkett M. et al 2002). Semantic Web-based manufacturing knowledge management is being paid more attention to improve knowledge sharing and reusing. The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. It is based on the Resource De- scription Framework (RDF). Currently useful Semantic Web applications include Web publishing, personal information management, transportation and tourism (W3C 2001). However few Semantic Web applications in manufacturing are reported in public. This paper aims to explore a semantic knowledge management approach for realizing knowledge- intensive manufacturing by combining knowledge engineering and Semantic Web. Section 2 defines notions used in the paper. Section 3 analyzes knowledge management requirements for knowledge-intensive manu- facturing. Section 4 presents three manufacturing knowledge solidification modes. Section 5 reviews the state of the art of knowledge engineering methods. Section 6 presents a semantic manufacturing knowledge management system and a common manufacturing ontology. Section 7 demonstrates a Semantic Web-based knowledge query system. Conclusion and further studies close the paper. ISBN: 972-98947-8-7 © 2004 IADIS 114