Hypermedia-based adaptive expert system for advanced performance support
This paper discusses the provision of advanced performance support through the integration of techniques used in developing knowledge-based systems, namely diagnostic expert systems and adaptive hypermedia systems. This integration is implemented by employing hypermedia which allows supporting content to be synchronized with the diagnostic expert system inference process. The paper proposes an integrated fault data model for diagnostic expert systems. It also introduces a technique for the adaptive retrieval of hypermediabased technical information using data semantics. A special organisation of displays in the user interface of the adaptive diagnostic expert system allows operators, while applying the expert system for fault diagnosis, to
request detailed information about a certain diagnosis procedure, and then return to the system to continue from where they left off. The techniques proposed in this paper are demonstrated through a prototype adaptive expert system for locating and correcting braking system faults in a forklift truck.
request detailed information about a certain diagnosis procedure, and then return to the system to continue from where they left off. The techniques proposed in this paper are demonstrated through a prototype adaptive expert system for locating and correcting braking system faults in a forklift truck.

The system is fully implemented using technologies such as Java, JSP, XML, XSL, CSS, Relational dbms (MS-Access), ES-shell (e2goLite) and others.
The adaptive rerieval technique has been developed by myself and it is described in detail in chapter 5 of my PhD thesis titled "Hypermedia-based Performance support systems for the Web". You can find it in Cardiff Uni library. Please let me know if you have any feedback or comment or if you require any extra details.
Regards
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What programming language/environment do you use? Would you give more details about the "technique for the adaptive retrieval of hypermediabased technical information using data semantics"? Is this technique a result of your research?