Foundations of a Structured Approach to Characterising Domain Knowledge (0)
| Venue: | Cognitive Systems |
| Citations: | 5 - 0 self |
BibTeX
@ARTICLE{Paton_foundationsof,
author = {R. C. Paton and H. S. Nwana and M. J. R. Shave and T. J. M. Bench-capon and S. Hughes},
title = {Foundations of a Structured Approach to Characterising Domain Knowledge},
journal = {Cognitive Systems},
year = {},
volume = {3},
pages = {139--161}
}
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Abstract
One of the key phases in Knowledge Based Systems (KBS) construction is Knowledge Acquisition. However, human knowledge about domains is so complex that without an analysis stage that probes the underlying nature of the real world problem and how human experts conceptualise it, the knowledge incorporated within a KBS remains shallow and incomplete. In this paper, we highlight foundational details of a structured approach to knowledge analysis and describe its application to domains associated with software installation and neural networks. 1 Introduction: Domain Characterisation and Knowledge Acquisition In this paper we present the foundations of an approach to the characterisation of problem solving domains for the development of knowledge based systems. These foundations come from a broadly based, multi-disciplinary perspective which includes the cognitive sciences, computer science and the philosophy of science. The breadth of disciplines required reflects the need to deal with the...
