Measuring the value of knowledge

Reich, Yoram

doi:10.1006/ijhc.1995.1002

Cited by 48 publications

(28 citation statements)

References 29 publications

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“…Two ICAIL 1999 papers consider frameworks for the evaluation of LKBS. Stranieri and Zeleznikow base their evaluation methods on work by Reich and some of their strategies are discussed later on in this paper [46,49]. In an extended abstract later published in JURIX 1999, Mommers and Van Den Herik base their evaluation of LKBS on knowledge criteria [38].…”

Section: Evaluation Of Legal Knowledge Based Systemsmentioning

confidence: 99%

Acknowledging insufficiency in the evaluation of legal knowledge-based systems

Hall

Zeleznikow

2001

Proceedings of the 8th International Conference on Artificial Intelligence and Law

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This paper considers the need for evaluation of knowledge-based systems in general and legal knowledge-based systems in particular. Some special features of legal knowledge-based systems pertinent to their evaluation are presented. The expected benefits of such evaluations are discussed. and some of the difficulties likely to be encountered are outlined.The proceedings of four International Conferences on Artificial Intelligence and Law are analysed to determine the rate of reporting evaluations in non-theoretical papers. These papers had a low rate of consideration of evaluation issues reflecting common practice in research biased development environments. These results confirm that more attention to evaluation is needed in the legal knowledge based systems domain. This paper foreshadows the development of an evaluation methodology tailored specifically for legal knowledge-based systems. Evaluation strategies beyond verification and validation are drawn upon, both from the international ISO/IEC 14598 and 9126 standards and also from previous work on evaluation models for knowledge-based systems.

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Section: Evaluation Of Legal Knowledge Based Systemsmentioning

confidence: 99%

Acknowledging insufficiency in the evaluation of legal knowledge-based systems

Hall

Zeleznikow

2001

Proceedings of the 8th International Conference on Artificial Intelligence and Law

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“…For more notes on evaluation methods see (Fenton 1991;Cohen 1995). For introductory remarks to experimental methods, software measurement, and the evaluation of expert systems, see (Reich 1995;Fenton, Pfleeger, & Glass 1994;Gaschnig et al 1983). For examples of good empirical evaluations, see (Yu et al 1979;Corbridge, Major, & Shadbolt 1995;Menzies 1996;Vicente, Christoffersen, & Pereklita 1995;Sanderson, Verhapge, & Fuld 1989).…”

Section: Knowledge Engineering Metricsmentioning

confidence: 99%

Towards situated knowledge acquisition

MENZIES

1998

International Journal of Human-Computer Studies

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Situated cognition is not a mere philosophical concern: it has pragmatic implications for current practice in knowledge acquisition. Tools must move from being design-focused to being maintenance-focused. Reuse-based approaches (e.g. using problem solving methods) will fail unless the reused descriptions can be extensively modified to suit the new situation. Knowledge engineers must model not only descriptions of expert knowledge, but also the environment in which a knowledge base will perform. Descriptions of knowledge must be constantly re-evaluated. This re-evaluation process has implications for assessing representations 1 .

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“…The search for learning programs that could support the conceptual design was limited to the redesign task. The first task, problem analysis, was performed a priori in a simplified form, the analysis involved coding a finite element procedure, the evaluation remained 9 It most not be forgotten that the work was in the context of a PhD thesis, perceived as basic research, but one that had to result in a thesis in a limited time frame. unsupported computationally; and synthesis remained based on ECOBWEB, although it now included two instantiations with a candidate adaptation module (Figure 2).…”

Section: Brjdgermentioning

confidence: 99%

“…The redesign sub-system resolves this problem. 123 Evaluation BRIDGER was partially evaluated qualitatively and quantitatively [12,9]. This section details the quantitative evaluation only.…”

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confidence: 99%

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Measuring the value of knowledge

Cited by 48 publications

References 29 publications

Acknowledging insufficiency in the evaluation of legal knowledge-based systems

Acknowledging insufficiency in the evaluation of legal knowledge-based systems

Towards situated knowledge acquisition

The development of Bridger: A methodological study of research on the use of machine learning in design

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