Title: Knowledge management and reuse in collaborative product development - a semantic relationship management-based approach

Authors: Ibrahim Assouroko; Guillaume Ducellier; Philippe Boutinaud; Benoît Eynard

Addresses: Department of Mechanical Systems Engineering, Université de Technologie de Compiègne, CNRS – UMR7337 – Roberval, CS 60319, rue du Dr. Schweitzer, 60203 Compiègne, France; CADeSIS, 37 rue Adam Ledoux, Bat. B, 92400 Courbevoie, France ' Institut Charles Delaunay – CNRS UMR 6281 – LASMIS, Université de Technologie de Troyes, CS 42060, 10004 Troyes Cedex, France ' CADeSIS, 37 rue Adam Ledoux, Bat. B, 92400 Courbevoie, France ' Department of Mechanical Systems Engineering, Université de Technologie de Compiègne, CNRS – UMR7337 – Roberval, CS 60319, rue du Dr. Schweitzer, 60203 Compiègne, France

Abstract: In the current globalised context of industry, constant improvement of competitiveness remains a major issue for companies. Through the past few years, considering the latest technological advances, product complexity, as well as related manufacturing processes has increased. Nowadays, product lifecycle management systems are seen to be essential and strategic components of enterprise information system in order to harmonise collaborative data management especially in the collaborative product development. Considering knowledge management and reuse purposes, it is not currently the case when product data distributed in various and heterogeneous information systems must be browsed. In such a context, methods and tools for information and knowledge extraction (from heterogeneous systems) and visualisation play an important role, given their capacity to extract, represent and organise the engineering information and knowledge throughout the whole product lifecycle. The paper proposes a semantic relationship management-based approach to improve knowledge management and reuse in collaborative product development.

Keywords: product lifecycle management; PLM; product information exchange; semantic relationship management; ontology; collaborative product development; knowledge management; knowledge reuse; information extraction; knowledge extraction; visualisation.

DOI: 10.1504/IJPLM.2014.065460

International Journal of Product Lifecycle Management, 2014 Vol.7 No.1, pp.54 - 74

Available online: 26 Oct 2014 *

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