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VANILLA: A Dynamic Data Model for a Generic Scientific Database.

Karla Massey, Larry Kerschberg, George Michaels: VANILLA: A Dynamic Data Model for a Generic Scientific Database. SSDBM 1997: 104-107
@inproceedings{DBLP:conf/ssdbm/MasseyKM97,
  author    = {Karla Massey and
               Larry Kerschberg and
               George Michaels},
  editor    = {Yannis E. Ioannidis and
               David M. Hansen},
  title     = {VANILLA: A Dynamic Data Model for a Generic Scientific Database},
  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     = {104-107},
  ee        = {db/conf/ssdbm/MasseyKM97.html},
  crossref  = {DBLP:conf/ssdbm/97},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Scientists from widely varying communities are frequently called upon to work together, sharing their data and their expertise to investigate a common issue. Difficulties frequently arise in sharing data because each community, and sometimes each scientist, has their own conventions for structuring the data. This results in a data schema that is incompatible with the other scientific communities working on the investigation. This paper presents VANILLA, a data schema developed to address these issues whose prototype shares data among the varied communities of forest canopy science. VANILLA uses techniques from semantic and dimensional databases in a federated approach to manage the sociological and technological issues in scientific data integration. All data is organized according to a thesaurus so that new data schemas can be rapidly built for the terminology of a new scientific domain or method. This data schema has been successfully used to store and analyze micro ecological forest data and stem map data.

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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References

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Abraham Silberschatz, Henry F. Korth: Database System Concepts, 2nd Edition. McGraw-Hill Book Company 1991
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