Adaptive Performance Support for Fault Diagnosis
نویسنده
چکیده
This paper introduces a strategy, a user model, and a methodology for utilising adaptive hypermedia in performance support domain and specifically for fault diagnosis. This utilisation is implemented by employing task-specific and user-centred hypermedia which allows supporting content to be synchronized with the diagnostic expert system inference process. A stereotype user model is suggested in order to represent the knowledge of the user of the performed tasks. This stereotype user model is used for the adaptive retrieval of finely separated and semantically classified information elements. The technique that is proposed in this paper is demonstrated through a prototype adaptive expert system for locating and correcting braking system faults in a forklift truck. Key-Words: Adaptive hypermedia, Semantic data modelling, Performance support systems, User modelling, Diagnostic expert systems.
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تاریخ انتشار 2008