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In this paper a novel expert judgment methodology, knowledge engineering expert judgment acquisition and modelling (KEEJAM), which is supposed to be applicable to a variety of expert judgment elicitation contexts, is described. The KEEJAM methodology takes in input the definition of the application domain of interest and the specification of the expert judgment tasks to be faced. This approach provides structured and disciplined support to the normative expert, namely the knowledge engineer, in eliciting the knowledge and the reasoning strategies of the experts, building consistent knowledge models and applying such models to the solution of the expert judgment tasks considered. The KEEJAM methodology is organized into 5 phases: start-up; design; knowledge acquisition and modelling; exploitation and refinement; synthesis and release. The main features of each phase are described in the paper, and practical suggestions for tailoring the KEEJAM methodology in concrete cases are provided.

Additional information

Authors: COJAZZI G, JRC Ispra (IT);PINOLA L, JRC Ispra (IT);GUIDA G, Università degli Studi de Brescia (IT);BARONI P, Università degli Studi de Brescia (IT);SARDELLA R, Università degli Studi di Bologna (IT)
Bibliographic Reference: Paper presented: ESREL 97, Lisbon (PT), June 17-20, 1997
Availability: Available from (1) as paper EN 40379 ORA
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