Extracting expertise from experts: Methods for knowledge acquisition
dc.contributor.author | Olson, Judith Reitman | en_US |
dc.contributor.author | Rueter, Henry H. | en_US |
dc.date.accessioned | 2010-06-01T20:22:59Z | |
dc.date.available | 2010-06-01T20:22:59Z | |
dc.date.issued | 1987-08 | en_US |
dc.identifier.citation | OLSON, JUDITH REITMAN; RUETER, HENRY H. (1987). "Extracting expertise from experts: Methods for knowledge acquisition." Expert Systems 4(3): 152-168. <http://hdl.handle.net/2027.42/73498> | en_US |
dc.identifier.issn | 0266-4720 | en_US |
dc.identifier.issn | 1468-0394 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/73498 | |
dc.description.abstract | Knowledge acquisition is the biggest bottleneck in the development of expert systems. Fortunately, the process of translating expert knowledge to a form suitable for expert system development can benefit from methods developed by cognitive science to reveal human knowledge structures. There are two classes of these investigative methods, direct and indirect. We provide reviews, criteria for use, and literature sources for all principal methods. Direct methods discussed are: interviews, questionnaires, observation of task performance, protocol analysis, interruption analysis, closed curves, and inferential flow analysis. Indirect methods include: multidimensional scaling, hierarchical clustering, general weighted networks, ordered trees, and repertory grid analysis. | en_US |
dc.format.extent | 2212950 bytes | |
dc.format.extent | 3109 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Blackwell Publishing Ltd | en_US |
dc.rights | 1987 Blackwell Publishing Ltd. | en_US |
dc.title | Extracting expertise from experts: Methods for knowledge acquisition | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Computer Science | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Graduate School of Business Administration The University of Michigan Ann Arbor Michigan USA | en_US |
dc.contributor.affiliationum | Vector Research Inc Ann Arbor Michigan USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/73498/1/j.1468-0394.1987.tb00139.x.pdf | |
dc.identifier.doi | 10.1111/j.1468-0394.1987.tb00139.x | en_US |
dc.identifier.source | Expert Systems | en_US |
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dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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