The Visual Computer

, Volume 15, Issue 5, pp 217–234

RMAP: a system for visualizing data in multidimensional relevance space

Authors

  • Jackie Assa
    • Computer Science Department, School of Mathematical Sciences, Tel-Aviv University, Ramat-Aviv 69978, Israel, e-mail: {jackie,daniel,milo}@math.tau.ac.il
  • Daniel Cohen-Or
    • Computer Science Department, School of Mathematical Sciences, Tel-Aviv University, Ramat-Aviv 69978, Israel, e-mail: {jackie,daniel,milo}@math.tau.ac.il
  • Tova Milo
    • Computer Science Department, School of Mathematical Sciences, Tel-Aviv University, Ramat-Aviv 69978, Israel, e-mail: {jackie,daniel,milo}@math.tau.ac.il
Original article

DOI: 10.1007/s003710050174

Cite this article as:
Assa, J., Cohen-Or, D. & Milo, T. The Visual Computer (1999) 15: 217. doi:10.1007/s003710050174
  • 18 Views

exact

relevance measures of the objects are not significant. We flatten the multidimensionality of the feature space into a 2D relevance map, capturing the inter-relations among the features. The prototype, extract information from the World Wide Web from query engines, automatically categorizes and clusters the information and allow the user to visualize.

Key words: User informationData visualizationRelevance mapWorld Wide WebSearch engines

Copyright information

© Springer-Verlag Berlin Heidelberg 1999