Developing K-ONCOCIN: a case study in the cognitive process of knowledge engineers

Woodward, J. Brian

doi:10.1016/1042-8143(92)90028-y

Cited by 1 publication

(1 citation statement)

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“…As the KA field matures, more studies are being done that are not tied to one particular KA tool or technique, but which look at the integration of a wider array of KA tools and techniques within the whole process (Grabowski et al 1992;Motta et al 1990;Reinartz & Schmalhofer 1994;Tsatsarakis & Sleeman 1993;Woodward 1992). To support the hrther study of KA processes this paper focuses on how KA processes actually unfold, and identifies several previously unrecognised factors.…”

Section: Introductionmentioning

confidence: 99%

Process factors in knowledge acquisition

Holsapple

Wagner

1996

Expert Systems

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Knowledge acquisition (KA) is often characterised as a crucial bottleneck in the development of expert system applications. General de$nitions of KA view it as a collection of subprocesses such as elicitation, analysis and representation, but in actual practice, each KA occurrence may involve one or all of these subprocesses in varying sequences andcombinations. No model or pamework currently exists for describing the many possible variations in 101 processes as they actually occur. This article presents a new way of characterising knowledge acquisition processes that is not tied to one particular technique or approach to KA. Three nested levels are proposed to characterise the many possible variations and combinations of KA dynamics: the process, episode and transaction levels of analysis. Each of these is further delineated in a top-down manner. Not only does this scheme provide a fairly comprehensive means for viewing KA dynamics as a whole, but it suggests several factors that have heretofore drawn little research attention. The suggested constructs capture more accurately what actually occurs in the practice of KA. In so doing they also provide the foundation for structuring future research into how KA processes may unfold

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