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Extracting expertise from experts: Methods for knowledge acquisition

dc.contributor.authorOlson, Judith Reitmanen_US
dc.contributor.authorRueter, Henry H.en_US
dc.date.accessioned2010-06-01T20:22:59Z
dc.date.available2010-06-01T20:22:59Z
dc.date.issued1987-08en_US
dc.identifier.citationOLSON, 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.issn0266-4720en_US
dc.identifier.issn1468-0394en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/73498
dc.description.abstractKnowledge 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.extent2212950 bytes
dc.format.extent3109 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherBlackwell Publishing Ltden_US
dc.rights1987 Blackwell Publishing Ltd.en_US
dc.titleExtracting expertise from experts: Methods for knowledge acquisitionen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumGraduate School of Business Administration The University of Michigan Ann Arbor Michigan USAen_US
dc.contributor.affiliationumVector Research Inc Ann Arbor Michigan USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/73498/1/j.1468-0394.1987.tb00139.x.pdf
dc.identifier.doi10.1111/j.1468-0394.1987.tb00139.xen_US
dc.identifier.sourceExpert Systemsen_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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