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For Large Meta Information of National Integrated Statistics.

Hideto Sato, Ryosuke Hotaka: For Large Meta Information of National Integrated Statistics. SSDBM 1981: 206-223
@inproceedings{DBLP:conf/ssdbm/SatoH81,
  author    = {Hideto Sato and
               Ryosuke Hotaka},
  editor    = {Harry K. T. Wong},
  title     = {For Large Meta Information of National Integrated Statistics},
  booktitle = {Proceedings of the First LBL Workshop on Statistical Database
               Management, Melno Park, California, USA, December 2-4, 1981},
  publisher = {Lawrence Berkeley Laboratory},
  year      = {1981},
  pages     = {206-223},
  ee        = {db/conf/ssdbm/SatoH81.html},
  crossref  = {DBLP:conf/ssdbm/81},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Integrated statistics, synthesized from many survey statistics, form an important part of government statistics. Its typical example is the System of National Accounts. To develop such a system, it is necessary to make consistent preparation of 1) documents of methods, 2) programs, and 3) a database. However, it is usually not easy because of the large amount of data types connected with the system. In this paper, we formulate a language as a means to supporting the design of statistical data integration. This language is based on the data abstraction model and treats four types of semantic hierarchies; generalization, derivation, association (aggregation) and classification. We demonstrate that this language leads to natural documentation of statistical data integration, and meta information, used in both programs and a database for the integration, can be generated from the documents.

ACM SIGMOD Anthology

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Printed Edition

Harry K. T. Wong (Ed.): Proceedings of the First LBL Workshop on Statistical Database Management, Melno Park, California, USA, December 2-4, 1981. Lawrence Berkeley Laboratory 1982
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Referenced by

  1. Frank Olken: How Baroque Should a Statistical Database Management System Be? SSDBM 1983: 212-219
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