A hierarchical text classification system for manufacturing knowledge management and retrieval

Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Loh, Han Tong, Toumi, Kamal Youcef and Tor, Shu Beng 2008. A hierarchical text classification system for manufacturing knowledge management and retrieval. International Journal of Knowledge Management Studies 2 (4) , pp. 406-425. 10.1504/IJKMS.2008.019749

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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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC) Engineering
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Publisher:	Inderscience Publishers
ISSN:	1743-8268
Last Modified:	25 Oct 2022 07:59
URI:	https://orca.cardiff.ac.uk/id/eprint/51048

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