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The Virtual Domain Application Data Center: Serving Interdisciplinary Earth Scientists.

Menas Kafatos, Xiaoyang Sean Wang, Heather Weir, Zuotao Li, Paul Hertz, Henry Wolf, Ruixin Yang, Duane King, Dan Ziskin: The Virtual Domain Application Data Center: Serving Interdisciplinary Earth Scientists. SSDBM 1997: 264-276
@inproceedings{DBLP:conf/ssdbm/KafatosLYHKWWWZ97,
  author    = {Menas Kafatos and
               Xiaoyang Sean Wang and
               Heather Weir and
               Zuotao Li and
               Paul Hertz and
               Henry Wolf and
               Ruixin Yang and
               Duane King and
               Dan Ziskin},
  editor    = {Yannis E. Ioannidis and
               David M. Hansen},
  title     = {The Virtual Domain Application Data Center: Serving Interdisciplinary
               Earth Scientists},
  booktitle = {Ninth International Conference on Scientific and Statistical
               Database Management, Proceedings, August 11-13, 1997, Olympia,
               Washington, USA},
  publisher = {IEEE Computer Society},
  year      = {1997},
  isbn      = {0-8186-7952-2},
  pages     = {264-276},
  ee        = {db/conf/ssdbm/KafatosLYHKWWWZ97.html},
  crossref  = {DBLP:conf/ssdbm/97},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

In this article, we address the data access and analysis issues faced by interdisciplinary Earth scientists and graduate students as a prototypical domain community which will be accessing large data sets in Earth system science in the following decades. We present a working prototype developed at George Mason University to serve wide user needs termed Virtual Domain Application Data Center (VDADC). The VDADC prototype provides tools, data products and services tailored to users and can be extended to other domain communities. The VDADC operates in a distributed environment, the World Wide Web, and in close association with federated data centers. Moreover, the information technology implementation is driven by science scenaria and can apply to a variety of domain users, thus reducing network trafic the data centers by implementing intelligent data searching or "content-based browsing" prior to data ordering thus more effectively addressing user needs.

Copyright © 1997 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.

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Yannis E. Ioannidis, David M. Hansen (Eds.): Ninth International Conference on Scientific and Statistical Database Management, Proceedings, August 11-13, 1997, Olympia, Washington, USA. IEEE Computer Society 1997, ISBN 0-8186-7952-2
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Referenced by

  1. Zuotao Li, Xiaoyang Sean Wang, Menas Kafatos, Ruixin Yang: A Pyramid Data Model for Supporting Content-Based Browsing and Knowledge Discovery. SSDBM 1998: 170-179
  2. Menas Kafatos, Xiaoyang Sean Wang, Zuotao Li, Ruixin Yang, Dan Ziskin: Information Technology Implementation for a Distributed Data System Serving Earth Scientists: Seasonal to Interannual ESIP. SSDBM 1998: 210-215
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