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Knowledgeable knowledge acquisition

Knowledgeable knowledge acquisition
Knowledgeable knowledge acquisition
In this paper we describe a system aimed at providing software support for the process of knowledge acquisition. Such support comprises a workbench incorporating a number of knowledge acquisition tools; knowledge elicitation techniques such as sorting and rating methods, together with machine learning techniques. The paper discusses the various problems raised by this work. These include; defining an adequate view of the general acquisition process, developing an appropriate implementation architecture, directing knowledge acquisition via knowledge level models and producing a sufficiently powerful representation language to integrate the results of acquisition. Finally we describe the limitations of our current system and future developments in our work.
160-171
Springer
Reichgelt, H.
563d1f9c-a2ec-4e94-b513-12884d1a6393
Shadbolt, N.R.
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Steels, L.
Smith, B.
Reichgelt, H.
563d1f9c-a2ec-4e94-b513-12884d1a6393
Shadbolt, N.R.
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Steels, L.
Smith, B.

Reichgelt, H. and Shadbolt, N.R. (1991) Knowledgeable knowledge acquisition. Steels, L. and Smith, B. (eds.) In AISB91. Springer. pp. 160-171 . (doi:10.1007/978-1-4471-1852-7_15).

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper we describe a system aimed at providing software support for the process of knowledge acquisition. Such support comprises a workbench incorporating a number of knowledge acquisition tools; knowledge elicitation techniques such as sorting and rating methods, together with machine learning techniques. The paper discusses the various problems raised by this work. These include; defining an adequate view of the general acquisition process, developing an appropriate implementation architecture, directing knowledge acquisition via knowledge level models and producing a sufficiently powerful representation language to integrate the results of acquisition. Finally we describe the limitations of our current system and future developments in our work.

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Published date: 1991
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 252362
URI: http://eprints.soton.ac.uk/id/eprint/252362
PURE UUID: 8887a84e-0644-4078-b690-dd8abb125f06

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Date deposited: 20 Jan 2000
Last modified: 07 Aug 2020 16:33

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