Semantic Enrichment of Models to Assist Knowledge Management in a PLM Environment
Identifieur interne : 001494 ( Main/Exploration ); précédent : 001493; suivant : 001495Semantic Enrichment of Models to Assist Knowledge Management in a PLM Environment
Auteurs : Yongxin Liao [France] ; Mario Lezoche [France] ; Eduardo Loures [Brésil] ; Hervé Panetto [France] ; Nacer Boudjlida [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: Product Lifecycle Management (PLM) has been considered as an essential concept for improving the product competitive ability in manufacturing enterprises. The PLM solution aims at providing a shared platform for facilitating the management of the knowledge related to any product development process in or across enterprises. However, facing with different standards, enterprise systems and stakeholders, enterprises still need to deal with interoperability issues between those collaborative information systems, encompassing their capability to find the right information during the whole Product Life Cycle (PLC). The objective of this paper is to cope with the major issue of semantic interoperability, by proposing a formalization of semantic annotations and a prototype for facilitating a coherent, complete and contextualized interoperability of knowledge between all enterprise systems and related stakeholders. An example of the instantiation of our method within a real application scenario in manufacturing domain is presented to demonstrate its applicability and use, both at the engineering and the exploitation phases.
Url:
DOI: 10.1007/978-3-642-41030-7_17
Affiliations:
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