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• W2011606344 abstract "In many practical knowledge engineering contexts, interview data is the commonest form in which information is obtained from domain experts. Having obtained interview data the knowledge engineer is then faced with the difficult task of analysing what is initially relatively unstructured and complex material. It is argued that the knowledge engineer's task of analysing interview data conceptually as part of the knowledge elicitation process is similar to that of the social scientist analysing qualitative data. One implication of this is that a range of methods originally developed by social scientists for the analysis of unstructured and semi-structured qualitative material will be of assistance to the knowledge engineer. The background philosophical issues linking qualitative social science research and knowledge elicitation are outlined; both are characterized as fundamentally creative, interpretative processes. “Grounded Theory”, a social science methodology for the systematic generation of conceptual models from qualitative data, is described in detail. An example is presented of the use of Grounded Theory for the analysis of expert interview transcripts, drawn from a knowledge engineering project in civil engineering. The discussion focuses upon the processes used to move from an initial unstructured interview transcript to a core set of interrelated concepts, memos and models that fully describe the data." @default.
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• W2011606344 date "1991-08-01" @default.
• W2011606344 modified "2023-09-30" @default.
• W2011606344 title "The use of Grounded theory for conceptual analysis in knowledge elicitation" @default.
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• W2011606344 doi "https://doi.org/10.1016/s0020-7373(05)80146-4" @default.
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