This paper addresses some particular issues related to the difficult task of automatically structuring information available in ill-structured environments, through a distributed hypermedia system like the Web. We present an original approach to this problem, which coordinates different aspects of automatic computation of relations between nodes in hyperspace, through dynamic linking, using intelligent mapping of the domain material, by the application of spatial reasoning. We present a multi-purpose framework to dynamically structure information in the Web and a proof-of-concept prototype, dubbed Hypermap, implemented to build the spatial cognitive maps of the hyperspace, inspired by the human cognitive mapping process.
This paper addresses some particular issues related to the difficult task of automatic mapping of Web information to help the user to find interesting and unexpected information on the Web. The approach puts together qualitative and quantitative reasoning. The qualitative reasoning is done through a spatial mereotopological calculus since we metaphorically see Web sites as space regions. As a result, documents/sites are grouped together into classes according to the spatial relation they satisfy. Quantitative reasoning is done through Information Retrieval techniques allowing users to choose a document based on a similarity measure between documents/sites. Experiments have been undertaken in two directions: to find an intuitive model to display the Web map through the development of a system called HyperMap and to discover interesting and unexpected information from the spatial Web maps metaphor.
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