Spatial Reasoning for Information Brokering

H. Stuckenschmidt, C. Schlieder, U. Visser, T. Vögele, and H. Neumann, University of Bremen, Germany

The World Wide Web provides new opportunities for collecting information from distributed, multiple, and heterogeneous data sources. Information brokering can bc used to provide coordinated access to these sources if they arc structured or semi-structured. The BUSTER (Brcmcn University Scmantic Translator for Enhanced Retrieval) approach provides enabling technologies for information search and integration and can bc seen as an information broker. However, it is not possible to represent and reason about spatial objects. In this paper, we motivate the need for the integration of spatial representation and reasoning and propose an extension of the approach. We. discuss approaches for spatial representations. Wc conclude with a new concept for an extension of BUSTER with explicit rcprcscntations of spatial concepts and reasoning mechanisms that can be applied in order to support spatial information brokering.

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