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Knowledge engineering for modelling reasoning in a diagnosis task: application to search and rescue
Author(s) -
Schvartz Stéphane,
AbiZeid Irène,
Tourigny Nicole
Publication year - 2007
Publication title -
canadian journal of administrative sciences / revue canadienne des sciences de l'administration
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.347
H-Index - 48
eISSN - 1936-4490
pISSN - 0825-0383
DOI - 10.1002/cjas.24
Subject(s) - task (project management) , domain (mathematical analysis) , computer science , domain knowledge , process (computing) , model based reasoning , knowledge engineering , search and rescue , artificial intelligence , software engineering , knowledge representation and reasoning , engineering , systems engineering , programming language , mathematical analysis , mathematics , robot
This paper pertains to the application of knowledge engineering methods to aeronautical search and rescue in Canada. We modelled at the knowledge level the reasoning process of a search mission coordinator when conducting a diagnosis task to determine the routes likely followed by an aircraft missing overland. Knowledge engineering allowed us to develop a reasoning model based on documents and on interviews with domain experts. Our study was conducted in the CommonKADS knowledge modelling framework. The proposed model was validated by domain experts and implemented in a rule‐based prototype. Copyright © 2007 ASAC. Published by John Wiley & Sons, Ltd.

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