A multi‐facet taxonomy system with applications in unstructured knowledge management

C.F. Cheung (Associate Professor in the Department of Industrial and Systems Engineering of The Hong Kong Polytechnic University and an Adjunct Professor of the Harbin Institute of Technology Shenzhen Graduate School.)
W.B. Lee (Chair Professor and Head of the Department of Industrial and Systems Engineering of The Hong Kong Polytechnic University and the Director of The Hong Kong Polytechnic University Microsoft Enterprise Systems Centre (MESC).)
Y. Wang (PhD candidate of the Department Industrial and Systems Engineering of The Hong Kong Polytechnic University.)

Journal of Knowledge Management

ISSN: 1367-3270

Publication date: 1 December 2005

Abstract

Purpose

Unstructured knowledge management (UKM) becomes indispensable for the support of knowledge work. However, unstructured knowledge is inconvenient and difficult for sharing, organizing and acquisition. This paper seeks to present the development and implementation of a multi‐facet taxonomy system (MTS) for effective management of unstructured knowledge.

Design/methodology/approach

Multi‐facet taxonomy is a multi‐dimensional taxonomy which allows the classification of knowledge assets under multiple concepts at any levels of abstraction. The MTS system is based on five components: multi‐dimensional taxonomy structure, thesaurus model, automatic classification mechanism, intelligent searching, and self‐maintenance of taxonomy, respectively. Artificial intelligence (AI) and natural language process (NLP) technologies are used in the development of the MTS.

Findings

With the successful development of the MTS, the accuracy of categorization of unstructured knowledge is significantly improved. It also allows an organization to capture the valuable tacit knowledge embedded in the unstructured knowledge assets. This helps an organization to explore business opportunities for continuous business improvement.

Practical implications

The implementation of the MTS system not only dramatically reduces the human effort, time and cost for UKM but also allows an organization to capture valuable knowledge embedded in unstructured knowledge assets.

Originality/value

As the knowledge work and task become more complex and are dynamically changing with time and involve multiple concepts, the MTS addresses the inadequacy of conventional single dimensional taxonomy for managing unstructured knowledge. The self‐maintenance capability of the MTS ensures that the taxonomy is up‐to‐date and new knowledge is classified automatically for better knowledge sharing and acquisition.

Keywords

Citation

Cheung, C., Lee, W. and Wang, Y. (2005), "A multi‐facet taxonomy system with applications in unstructured knowledge management", Journal of Knowledge Management, Vol. 9 No. 6, pp. 76-91. https://doi.org/10.1108/13673270510629972

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Publisher

:

Emerald Group Publishing Limited

Copyright © 2005, Emerald Group Publishing Limited

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