Title: A hierarchical text classification system for manufacturing knowledge management and retrieval
Authors: Ying Liu, Han Tong Loh, Kamal Youcef-Toumi, Shu Beng Tor
Addresses: Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China. ' Department of Mechanical Engineering, National University of Singapore, Singapore 119260. ' Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. ' School of Mechanical and Aerospace Engineering, Nanyang Technological University, 639798 Singapore
Abstract: Intensive global competition is pushing manufacturing companies ever harder in their strife for constant profit. As the world evolves into a knowledge based economy, manufacturing companies are increasingly concerned about the acquisition, management and utilisation of advanced R&D information and knowledge from both internal organisations and external resources, like e-journals and digital libraries. This paper describes our recent research on a Knowledge Management and Retrieval system based on Hierarchical Text Classification scheme. This system organises the large volume of manufacturing related electronic documents according to the manufacturing knowledge taxonomy, then classifies and further routes the searching queries based on manufacturing concepts to the corresponding categories for documents retrieval. In this way, better performance of information retrieval is achieved as searching is directed under the guidance of the manufacturing knowledge.
Keywords: hierarchical text classification; text mining; knowledge management; information retrieval; manufacturing knowledge; knowledge taxonomy; document retrieval; electronic documents.
International Journal of Knowledge Management Studies, 2008 Vol.2 No.4, pp.406 - 425
Available online: 29 Jul 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article