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Visualisation of complex information

  • Matthew Chalmers
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 753)

Abstract

In information retrieval, sets of documents are stored and categorised in order to allow for search and retrieval. The complexity of the basic information is high, with representations involving thousands of dimensions. Traditional interaction techniques for such complex information therefore hide much of its complexity and structure, and offer access to it by means of isolated queries and word searches. Bead is a system which takes a complementary approach, as it builds and displays an approximate model of the document corpus in the form of a map or landscape constructed from the patterns of similarity and dissimilarity of the documents making up the corpus. In this paper, emphasis is given to the influences on and principles behind the design of the landscape model and the abandonment of a ‘point cloud’ model used in an earlier version of the system, rather than the more mathematical aspects of model construction.

Keywords

Point Cloud Information Retrieval Ground Plane Query Language Information Design 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Matthew Chalmers
    • 1
  1. 1.Rank Xerox EuroPARCCambridgeUK

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