Distributed Visual Interfaces for Collaborative Exploration of Data Spaces
Identifieur interne : 001994 ( Istex/Corpus ); précédent : 001993; suivant : 001995Distributed Visual Interfaces for Collaborative Exploration of Data Spaces
Auteurs : Sung Baik ; Jerzy Bala ; Yung JoSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: In our knowledge-based society, collaboration environments define a key Knowledge Management trend. The critical step in the implementation of this step is to capture the collaboration surrounding visual reports (e.g., charts) used in decision-making. Indeed, the ability to provide an accurate and integrated visualization of the data spaces in order to support organizational decision-making is a crucial component of modern information-rich enterprises. This ability can be significantly improved through the introduction of collaborative decision support tools tailored for visualization. This paper presents the development of a class of such tools, called DIVI (Distributed Intelligent Visual Interfaces). The DIVI approach is based on the application of distributed visualization nodes and a mechanism for visual information abstraction/generalization. DIVI technology is envisioned to have a major impact on those applications requiring information to be collected from different data sources for collaborative group decision-making. Typical applications include planning systems, logistics, computer-aided medical group diagnosis, and educational services.
Url:
DOI: 10.1007/11552413_127
Links to Exploration step
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<front><div type="abstract" xml:lang="en">Abstract: In our knowledge-based society, collaboration environments define a key Knowledge Management trend. The critical step in the implementation of this step is to capture the collaboration surrounding visual reports (e.g., charts) used in decision-making. Indeed, the ability to provide an accurate and integrated visualization of the data spaces in order to support organizational decision-making is a crucial component of modern information-rich enterprises. This ability can be significantly improved through the introduction of collaborative decision support tools tailored for visualization. This paper presents the development of a class of such tools, called DIVI (Distributed Intelligent Visual Interfaces). The DIVI approach is based on the application of distributed visualization nodes and a mechanism for visual information abstraction/generalization. DIVI technology is envisioned to have a major impact on those applications requiring information to be collected from different data sources for collaborative group decision-making. Typical applications include planning systems, logistics, computer-aided medical group diagnosis, and educational services.</div>
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<Para>In our knowledge-based society, collaboration environments define a key Knowledge Management trend. The critical step in the implementation of this step is to capture the collaboration surrounding visual reports (e.g., charts) used in decision-making. Indeed, the ability to provide an accurate and integrated visualization of the data spaces in order to support organizational decision-making is a crucial component of modern information-rich enterprises. This ability can be significantly improved through the introduction of collaborative decision support tools tailored for visualization. This paper presents the development of a class of such tools, called DIVI (Distributed Intelligent Visual Interfaces). The DIVI approach is based on the application of distributed visualization nodes and a mechanism for visual information abstraction/generalization. DIVI technology is envisioned to have a major impact on those applications requiring information to be collected from different data sources for collaborative group decision-making. Typical applications include planning systems, logistics, computer-aided medical group diagnosis, and educational services.</Para>
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