Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12157
Title: Design and implementation of an integrated knowledge system
Authors: Lau, HCW
Wong, CWY
Hui, IK
Pun, KF
Keywords: Case base reasoning
Data warehouse
Knowledge management
Online analytical processing
Issue Date: 2003
Publisher: Elsevier Science Bv
Source: Knowledge-based systems, 2003, v. 16, no. 2, p. 69-76 How to cite?
Journal: Knowledge-Based Systems 
Abstract: Case Base Reasoning (CBR), which is characterized by its capability to capture past experience and knowledge for case matching in various applications, is an emerging and well-accepted approach in the implementation Knowledge Management (KM) systems. The data format of CBR belongs to the 'free' type and therefore is dissimilar to the traditional relational data model which emphasizes on specified data fields, field lengths and data types. However, there is a lack of research regarding the seamless integration of these heterogeneous data models for achieving effective data communication, which is essential to enhance business workflow of enterprises. This paper attempts to propose an integrated knowledge system to support the extrapolation of projected outcomes of events based on knowledge generated by the relational database model and CBR knowledge model, both of which supplement and complement each other by virtue of their distinct structural features.
URI: http://hdl.handle.net/10397/12157
ISSN: 0950-7051
DOI: 10.1016/S0950-7051(02)00052-7
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