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.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Assa, J., Cohen-Or, D. & Milo, T. RMAP: a system for visualizing data in multidimensional relevance space. The Visual Computer 15, 217–234 (1999). https://doi.org/10.1007/s003710050174
Issue Date:
DOI: https://doi.org/10.1007/s003710050174