Foundations of the DARE System for Drawing Adequate REpresentations

Authors:
Tiziana Catarci;Giuseppe Santucci;Maria F. Costabile;Isabel Cruz
Affiliations:
-;-;-;-
Venue:
DANTE '99 Proceedings of the 1999 International Symposium on Database Applications in Non-Traditional Environments
Year:
1999

Citing 0
Cited 4

The prototype of the DARE system

SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
A Visual Data Mining Environment

Visual Data Mining
Visualization of multi-domain ranked data

Search computing
Visual exploratory data analysis of traffic volume

MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

We consider the problem of automatic visualizing information contained in a database and propose a framework that addresses the issues involved. Our approach does not depend on the particular data model used, the size of the instance set, or the nature of the data being represented. The aim of the framework is to produce a correct, complete, and possibly highly effective visual representation. Such properties of the visual representation are made possible by the consistency of a set of logic rules contained in a knowledge base. These rules express facts and relationships about the visual domain, the data domain, the mapping between both domains, and the perceptual domain.