Title: An ontology-based knowledge management system to support technology intelligence

Authors: Husam Arman, Allan Hodgson, Nabil N.Z. Gindy

Addresses: School of Mechanical, Material and Manufacturing Engineering, University of Nottingham, Nottingham NG7 2RD, UK. ' School of Mechanical, Material and Manufacturing Engineering, University of Nottingham, Nottingham NG7 2RD, UK. ' School of Mechanical, Material and Manufacturing Engineering, University of Nottingham, Nottingham NG7 2RD, UK

Abstract: High technology enterprises must now continually reduce costs and develop better products and services in order to sustain a competitive advantage in an endlessly changing business environment. Escalating research and development (R&D) costs force high technology enterprises to select more carefully which technologies to invest in. Advanced technology planning tools enable enterprises to make better strategic decisions. Knowledge of the technological changes relevant to an enterprise represents a critical issue in enhancing the performance of that enterprise and sustaining its competitive edge. The creation of ontology is usually the first step towards a sustainable knowledge management system. In this article, we describe the framework of an ontology-based knowledge management system including design and application at a real case. The proposed system was developed in the Protege environment, a generic system that is applicable to a variety of domain applications.

Keywords: advanced manufacturing technology; AMT; knowledge management; KM; ontology; technology intelligence; high technology; high tech enterprises; product development; competitive advantage; R&D; research and development; investment; strategic decision making; technological change; industrial engineering; systems engineering; responsive manufacturing.

DOI: 10.1504/IJISE.2010.031968

International Journal of Industrial and Systems Engineering, 2010 Vol.5 No.3, pp.377 - 389

Published online: 03 Mar 2010 *

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