Engineering Knowledge Extraction for Semantic Interoperability Between CAD, KBE and PLM Systems - Product Lifecycle Management and the Industry of the Future
Conference Papers Year : 2017

Engineering Knowledge Extraction for Semantic Interoperability Between CAD, KBE and PLM Systems

Abstract

For the deployment of both Product Lifecycle Management (PLM) and Knowledge-Based Engineering (KBE) approaches, product and process engineering knowledge needs to be identified, acquired, formalized, processed and reused. While knowledge acquisition is still a bottleneck process, the formalized engineering knowledge is still too often encapsulated in CAD models and in KBE systems developed in vendor-specific environments. To address this issue, this paper introduces a possible solution enabling the enrichment of a CAD-KBE-PLM integration schema that provides a standardized and neutral representation of engineering knowledge for further reuse across heterogeneous CAD, KBE and PLM systems. To enrich this schema, the proposed solution combines the use of a Multi-CAD API library – which allows platform-independent and automatic extraction of engineering knowledge from CAD models into an XML-based representation – and a Knowledge Acquisition and Formalization Assistant (KAFA) which assist domain experts to formalize their procedural knowledge.
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hal-01764169 , version 1 (11-04-2018)

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Jullius Cho, Thomas Vosgien, Detlef Gerhard. Engineering Knowledge Extraction for Semantic Interoperability Between CAD, KBE and PLM Systems. 14th IFIP International Conference on Product Lifecycle Management (PLM), Jul 2017, Seville, Spain. pp.568-579, ⟨10.1007/978-3-319-72905-3_50⟩. ⟨hal-01764169⟩
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