ACM SIGMOD Anthology VLDB dblp.uni-trier.de

A Polygen Model for Heterogeneous Database Systems: The Source Tagging Perspective.

Y. Richard Wang, Stuart E. Madnick: A Polygen Model for Heterogeneous Database Systems: The Source Tagging Perspective. VLDB 1990: 519-538
@inproceedings{DBLP:conf/vldb/WangM90,
  author    = {Y. Richard Wang and
               Stuart E. Madnick},
  editor    = {Dennis McLeod and
               Ron Sacks-Davis and
               Hans-J{\"o}rg Schek},
  title     = {A Polygen Model for Heterogeneous Database Systems: The Source
               Tagging Perspective},
  booktitle = {16th International Conference on Very Large Data Bases, August
               13-16, 1990, Brisbane, Queensland, Australia, Proceedings},
  publisher = {Morgan Kaufmann},
  year      = {1990},
  isbn      = {1-55860-149-X},
  pages     = {519-538},
  ee        = {db/conf/vldb/WangM90.html},
  crossref  = {DBLP:conf/vldb/90},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

This paper studies heterogeneous database systems from the multiple (poly) source (gen perspective. It aims at addressing issues such as "where is the data from" and "which intermediate data sources were used to arrive at that data" - issues which are critical to many users in utilizing information composed from multiple sources. Specifically, it presents a polygen model for resolving the Data Source Tagging and Intermediate Source Tagging problems. Secondly, it presents a data-driven query translation mechanism for mapping a polygen query into a set of local queries dynamically. A concrete example is also provided to exemplify polygen query processing.

The significance of this paper lies not only in a precise characterization of a practical problem and a solution per se, but also in the establishment of a foundation for resolving many other critical research issues such as domain mismatch, semantic reconciliation, and data conflict amongst data retrieved fromdifferent sources. In a federated database environment with hundreds of databases, all of these issues are critical to their effective use.

Copyright © 1990 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.


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Dennis McLeod, Ron Sacks-Davis, Hans-Jörg Schek (Eds.): 16th International Conference on Very Large Data Bases, August 13-16, 1990, Brisbane, Queensland, Australia, Proceedings. Morgan Kaufmann 1990, ISBN 1-55860-149-X
BibTeX

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Referenced by

  1. Ee-Peng Lim, Roger H. L. Chiang: A Global Object Model for Accommodating Instance Heterogeneities. ER 1998: 435-448
  2. César A. Galindo-Legaria, Arnon Rosenthal: Outerjoin Simplification and Reordering for Query Optimization. ACM Trans. Database Syst. 22(1): 43-73(1997)
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  4. Richard Y. Wang, Veda C. Storey, Christopher P. Firth: A Framework for Analysis of Data Quality Research. IEEE Trans. Knowl. Data Eng. 7(4): 623-640(1995)
  5. Stuart E. Madnick: From VLDB to VMLDB (Very MANY Large Data Bases): Dealing with Large-Scale Semantic Heterogenity. VLDB 1995: 11-16
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