Volume

Dagstuhl Seminar Proceedings, Volume 7291

Publication Details

  • published at: 2008-04-10
  • Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik

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Document
DOI: 10.4230/DagSemProc.07291.1
07291 Abstracts Collection – Scientific Visualization

Authors: David S. Ebert, Hans Hagen, Kenneth I. Joy, and Daniel A. Keim

Abstract
From 15.07. to 20.07.07, the Dagstuhl Seminar 07291 ``Scientific Visualization'' was held in the International Conference and Research Center (IBFI),Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

David S. Ebert, Hans Hagen, Kenneth I. Joy, and Daniel A. Keim. 07291 Abstracts Collection – Scientific Visualization. In Scientific Visualization. Dagstuhl Seminar Proceedings, Volume 7291, pp. 1-18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{ebert_et_al:DagSemProc.07291.1,
  author =	{Ebert, David S. and Hagen, Hans and Joy, Kenneth I. and Keim, Daniel A.},
  title =	{{07291 Abstracts Collection – Scientific Visualization}},
  booktitle =	{Scientific Visualization},
  pages =	{1--18},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{7291},
  editor =	{David S. Ebert and Hans Hagen and Kenneth I. Joy and Daniel A. Keim},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07291.1},
  URN =		{urn:nbn:de:0030-drops-14145},
  doi =		{10.4230/DagSemProc.07291.1},
  annote =	{Keywords: Markov chains, numerical methods, web information retrieval, performance evaluation, intrusion detection, aggregation-disaggregation methods, graph-oriented decomposition}
}
Document
DOI: 10.4230/DagSemProc.07291.2
07291 Summary – Scientific Visualization

Authors: David S. Ebert, Hans Hagen, Kenneth I. Joy, and Daniel A. Keim

Abstract
Scientific visualization (SV) is concerned with the use of computer-generated images to aid the understanding, analysis and manipulation of data. Since its beginning in the early 90's, the techniques of SV have aided scientists, engineers, medical practitioners, and others in the study of a wide variety of data sets including, for example, high performance computing simulations, measured data from scanners (CAT, MR, confocal microscopy), internet traffic, and financial records. One of the important themes being nurtured under the aegis of Scientific Visualization is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes and simulations involving voluminous data sets across diverse scientific disciplines. Since vision dominates our sensory input, strong efforts have been made to bring the mathematical abstraction and modeling to our eyes through the mediation of computer graphics. This interplay between various application areas and their specific problem solving visualization techniques was emphasized in the proposed seminar.
Cite as

David S. Ebert, Hans Hagen, Kenneth I. Joy, and Daniel A. Keim. 07291 Summary – Scientific Visualization. In Scientific Visualization. Dagstuhl Seminar Proceedings, Volume 7291, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{ebert_et_al:DagSemProc.07291.2,
  author =	{Ebert, David S. and Hagen, Hans and Joy, Kenneth I. and Keim, Daniel A.},
  title =	{{07291 Summary – Scientific Visualization}},
  booktitle =	{Scientific Visualization},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{7291},
  editor =	{David S. Ebert and Hans Hagen and Kenneth I. Joy and Daniel A. Keim},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07291.2},
  URN =		{urn:nbn:de:0030-drops-14132},
  doi =		{10.4230/DagSemProc.07291.2},
  annote =	{Keywords: Markov chains, numerical methods, web information retrieval, performance evaluation, intrusion detection, aggregation-disaggregation methods graph-oriented decomposition}
}

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  • Ebert, David S.
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  • Hagen, Hans
  • J
  • Joy, Kenneth I.
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  • Keim, Daniel A.

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