Abstract
This paper presents an intelligent hypermedia product support system developed for the needs of a truck manufacturer that enables formalization of and learning from experience. Case-based reasoning (CBR) is employed to interpret a user's request for information, construct a new solution and adapt it to the user and his/her task. The proposed approach is illustrated with a case study that describes context-sensitive retrieval of hypermedia documents contained within an intelligent product manual.
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