A System for Virtual Directories Using Euler Diagrams

AbstractIn this paper, we describe how to use Euler Diagrams to represent virtual directories. i.e. collection of files that are computed on demand and satisfy a number of constraints. We, then, briefly describe the state of VennFS project that is currently modified to include this new capability. In particular, we show a data structure designed to answer queries about a given Euler Diagram and its sets. The data structure EulerTree described here is based on the R-Tree (see [Pankaj K. Agarwal, Mark de Berg, Joachim Gudmundsson, Mikael Hammar and Herman J. Haverkort, Box-trees and R-trees with near-optimal query time, in: Symposium on Computational Geometry, 2001, pp. 124–133]), a data structure designed for answering range queries over a family of shapes in the 2-dimensional space

Cognitive Foundations for Visual Analytics

In this report, we provide an overview of scientific/technical literature on information visualization and VA. Topics discussed include an update and overview of the extensive literature search conducted for this study, the nature and purpose of the field, major research thrusts, and scientific foundations. We review methodologies for evaluating and measuring the impact of VA technologies as well as taxonomies that have been proposed for various purposes to support the VA community. A cognitive science perspective underlies each of these discussions

Euler Diagrams 2004 Preliminary Version A system for Virtual Directories using Euler Diagrams

In this paper, we describe how to use Euler Diagrams to represent virtual directories. i.e. collection of files that are computed on demand and satisfy a number of constraints. We, then, briefly describe the state of VennFS project that is currently modified to include this new capability. In particular, we show a data structure designed to answer queries about a given Euler Diagram and its sets. The data structure EulerTree described here is based on the R-Tree (see [1]), a data structure designed for answering range queries over a family of shapes in the 2-dimensional space