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Abstract

This paper concentrates on the retrieval aspect in adaptive hypermedia (AH). Traditionally, AH research concentrates on applications that are 'closed', in the sense that they assume fixed content elements. Certain applications ask for an extension of the contents considered, with data obtained through information retrieval (IR). This paper addresses this issue of 'opening up' AH applications, and gives insight into research that applies techniques from IR and from the Semantic Web (SW) for the embedding of IR in AH. We look at this issue in the context of an abstract reference model (AHAM) and a concrete implementation framework (AHA!). The goal of this research is to define a framework for AH with extended IR functionality. We address the relevant issues for this framework, characterized by the application of concepts from the SW paradigm leading to an enriched notion of concept relevancy.

Type

a

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Abstract

The concept of a system combining information in both textual and pictorial format was first suggested by Vannevar Bush in 1945. The present hypermedia system was originally developed by Tim Berners Lee at CERN in 1989 and provides access to brief documents, which are interlinked and contain text, images, sound and video. The system has become widely available through the WWW, which enables users to 'navigate' through related information. Recent developments include the ability to view objects in virtual reality and the automatic generation of document links

Type

a