Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31880
Title: Discovery and capture of organizational knowledge from unstructured information
Authors: Gu, J
Lee, WB 
Cheung, CF 
Tsui, E 
Wang, WM
Keywords: Knowledge elicitation
Knowledge management
Knowledge-based system
Taxonomy
Unstructured information management
Issue Date: 2011
Source: World academy of science, engineering and technology, 2011, v. 77, p. 444-449 How to cite?
Journal: World Academy of Science, Engineering and Technology 
Abstract: Knowledge of an organization does not merely reside in structured form of information and data; it is also embedded in unstructured form. The discovery of such knowledge is particularly difficult as the characteristic is dynamic, scattered, massive and multiplying at high speed. Conventional methods of managing unstructured information are considered too resource demanding and time consuming to cope with the rapid information growth. In this paper, a Multi-faceted and Automatic Knowledge Elicitation System (MAKES) is introduced for the purpose of discovery and capture of organizational knowledge. A trial implementation has been conducted in a public organization to achieve the objective of decision capture and navigation from a number of meeting minutes which are autonomously organized, classified and presented in a multi-faceted taxonomy map in both document and content level. Key concepts such as critical decision made, key knowledge workers, knowledge flow and the relationship among them are elicited and displayed in predefined knowledge model and maps. Hence, the structured knowledge can be retained, shared and reused. Conducting Knowledge Management with MAKES reduces work in searching and retrieving the target decision, saves a great deal of time and manpower, and also enables an organization to keep pace with the knowledge life cycle. This is particularly important when the amount of unstructured information and data grows extremely quickly. This system approach of knowledge management can accelerate value extraction and creation cycles of organizations.
URI: http://hdl.handle.net/10397/31880
ISSN: 2010-376X
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