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1999 Volume 14
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RESEARCH ARTICLE   Open Access    

Knowledge maintenance: the state of the art

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  • In the software and knowledge engineering literature we can find maintenance strategies offered to maintain seven main types of knowledge: words; sentences; behavioral knowledge; and meta-knowledge. Meta-knowledge divides into problem solving methods, quality knowledge, fix knowledge, social knowledge and processing activities. There are five main ways in which these seven knowledge types are processed: acquire, operationalise, fault, fix and preserve. We review systems that contribute to these 7*5 = 35 types of knowledge maintenance to make the following conclusions. First, open issues with the current maintenance research are identified. These include (a) areas that are not being addressed by any researcher; (b) the recursive maintenance problem; and (c) drawbacks with rapid acquire systems and the operationalisation KM assumption. Secondly, a process is described for commissioning a new maintenance tool. Thirdly, a general common principle for maintenance (search-space reflection) is isolated.
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    Tim Menzies. 1999. Knowledge maintenance: the state of the art. The Knowledge Engineering Review. 14:52 doi: 10.1017/S0269888999134052
    Tim Menzies. 1999. Knowledge maintenance: the state of the art. The Knowledge Engineering Review. 14:52 doi: 10.1017/S0269888999134052

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RESEARCH ARTICLE   Open Access    

Knowledge maintenance: the state of the art

The Knowledge Engineering Review  14 Article number: 10.1017/S0269888999134052  (1999)  |  Cite this article

Abstract: In the software and knowledge engineering literature we can find maintenance strategies offered to maintain seven main types of knowledge: words; sentences; behavioral knowledge; and meta-knowledge. Meta-knowledge divides into problem solving methods, quality knowledge, fix knowledge, social knowledge and processing activities. There are five main ways in which these seven knowledge types are processed: acquire, operationalise, fault, fix and preserve. We review systems that contribute to these 7*5 = 35 types of knowledge maintenance to make the following conclusions. First, open issues with the current maintenance research are identified. These include (a) areas that are not being addressed by any researcher; (b) the recursive maintenance problem; and (c) drawbacks with rapid acquire systems and the operationalisation KM assumption. Secondly, a process is described for commissioning a new maintenance tool. Thirdly, a general common principle for maintenance (search-space reflection) is isolated.

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    Cite this article
    Tim Menzies. 1999. Knowledge maintenance: the state of the art. The Knowledge Engineering Review. 14:52 doi: 10.1017/S0269888999134052
    Tim Menzies. 1999. Knowledge maintenance: the state of the art. The Knowledge Engineering Review. 14:52 doi: 10.1017/S0269888999134052
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