Grand challenge award: Data integration visualization and collaboration in the VAST 2008 challenge

Donald Pellegrino; Chi Chun Pan; Anthony Robinson; Michael Stryker; Junyan Luo; Chris Weaver; Prasenjit Mitra; Chaomei Chen; Ian Turton; Alan MacEachren

doi:10.1109/VAST.2008.4677384

Grand challenge award: Data integration visualization and collaboration in the VAST 2008 challenge

Donald Pellegrino
, Chi Chun Pan
, Anthony Robinson
, Michael Stryker
, Junyan Luo
, Chris Weaver
, Prasenjit Mitra
, Chaomei Chen
, Ian Turton
, Alan MacEachren

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

The VAST 2008 Challenge consisted of four heterogeneous synthetic data sets each organized into separate mini-challenges. The Grand Challenge required integrating the raw data from these four data sets as well as integrating results and findings from team members working on specific mini-challenges. Modeling the problem with a semantic network provided a means for integrating both the raw data and the subjective findings.

Original language	English (US)
Title of host publication	VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings
Pages	197-198
Number of pages	2
DOIs	https://doi.org/10.1109/VAST.2008.4677384
State	Published - 2008
Event	IEEE Symposium on Visual Analytics Science and Technology, VAST'08 - Columbus, OH, United States Duration: Oct 21 2008 → Oct 23 2008

Publication series

Name	VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings

Other

Other	IEEE Symposium on Visual Analytics Science and Technology, VAST'08
Country/Territory	United States
City	Columbus, OH
Period	10/21/08 → 10/23/08

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Vision and Pattern Recognition
Human-Computer Interaction
Software

Access to Document

10.1109/VAST.2008.4677384

Cite this

Pellegrino, D., Pan, C. C., Robinson, A., Stryker, M., Luo, J., Weaver, C., Mitra, P., Chen, C., Turton, I., & MacEachren, A. (2008). Grand challenge award: Data integration visualization and collaboration in the VAST 2008 challenge. In VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings (pp. 197-198). Article 4677384 (VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings). https://doi.org/10.1109/VAST.2008.4677384

@inproceedings{18390878ac0f44069cd9337aa28c7393,

title = "Grand challenge award: Data integration visualization and collaboration in the VAST 2008 challenge",

abstract = "The VAST 2008 Challenge consisted of four heterogeneous synthetic data sets each organized into separate mini-challenges. The Grand Challenge required integrating the raw data from these four data sets as well as integrating results and findings from team members working on specific mini-challenges. Modeling the problem with a semantic network provided a means for integrating both the raw data and the subjective findings.",

author = "Donald Pellegrino and Pan, \{Chi Chun\} and Anthony Robinson and Michael Stryker and Junyan Luo and Chris Weaver and Prasenjit Mitra and Chaomei Chen and Ian Turton and Alan MacEachren",

year = "2008",

doi = "10.1109/VAST.2008.4677384",

language = "English (US)",

isbn = "9781424429356",

series = "VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings",

pages = "197--198",

booktitle = "VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings",

note = "IEEE Symposium on Visual Analytics Science and Technology, VAST'08 ; Conference date: 21-10-2008 Through 23-10-2008",

}

Pellegrino, D, Pan, CC, Robinson, A, Stryker, M, Luo, J, Weaver, C, Mitra, P, Chen, C, Turton, I & MacEachren, A 2008, Grand challenge award: Data integration visualization and collaboration in the VAST 2008 challenge. in VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings., 4677384, VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings, pp. 197-198, IEEE Symposium on Visual Analytics Science and Technology, VAST'08, Columbus, OH, United States, 10/21/08. https://doi.org/10.1109/VAST.2008.4677384

Grand challenge award: Data integration visualization and collaboration in the VAST 2008 challenge. / Pellegrino, Donald; Pan, Chi Chun; Robinson, Anthony et al.
VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings. 2008. p. 197-198 4677384 (VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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AU - Pellegrino, Donald

AU - Pan, Chi Chun

AU - Robinson, Anthony

AU - Stryker, Michael

AU - Luo, Junyan

AU - Weaver, Chris

AU - Mitra, Prasenjit

AU - Chen, Chaomei

AU - Turton, Ian

AU - MacEachren, Alan

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AB - The VAST 2008 Challenge consisted of four heterogeneous synthetic data sets each organized into separate mini-challenges. The Grand Challenge required integrating the raw data from these four data sets as well as integrating results and findings from team members working on specific mini-challenges. Modeling the problem with a semantic network provided a means for integrating both the raw data and the subjective findings.

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DO - 10.1109/VAST.2008.4677384

M3 - Conference contribution

AN - SCOPUS:77949793138

SN - 9781424429356

T3 - VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings

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BT - VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings

Y2 - 21 October 2008 through 23 October 2008

ER -

Pellegrino D, Pan CC, Robinson A, Stryker M, Luo J, Weaver C et al. Grand challenge award: Data integration visualization and collaboration in the VAST 2008 challenge. In VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings. 2008. p. 197-198. 4677384. (VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings). doi: 10.1109/VAST.2008.4677384

Grand challenge award: Data integration visualization and collaboration in the VAST 2008 challenge

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All Science Journal Classification (ASJC) codes

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