A Metadata Approach to Resolving Semantic Conflicts.

Michael Siegel, Stuart E. Madnick: A Metadata Approach to Resolving Semantic Conflicts. VLDB 1991: 133-145

@inproceedings{DBLP:conf/vldb/SiegelM91,
  author    = {Michael Siegel and
               Stuart E. Madnick},
  editor    = {Guy M. Lohman and
               Am\'{\i}lcar Sernadas and
               Rafael Camps},
  title     = {A Metadata Approach to Resolving Semantic Conflicts},
  booktitle = {17th International Conference on Very Large Data Bases, September
               3-6, 1991, Barcelona, Catalonia, Spain, Proceedings},
  publisher = {Morgan Kaufmann},
  year      = {1991},
  isbn      = {1-55860-150-3},
  pages     = {133-145},
  ee        = {db/conf/vldb/SiegelM91.html},
  crossref  = {DBLP:conf/vldb/91},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

In this paper we describe a rule-based approach to semantic specification that can be used to establish semantic agreement between a source and receiver. Query processing techniques use these specifications along with conversion routines and query modification to guarantee correct data semantics. This work also examines the effect of changing data semantics. These changes may occur at the source of the data or they may be changes in thespecifications of the data semantics for the application. Methods are describedfor detecting these changes and for determining if the database can continue tosupply meaningful data to the application. These methods for semantic reconciliation are necessary for determining logical connectivity between a data source (database) and a data receiver (application). Though described in terms of the source-receiver model, these techniques can also be used for semantic reconciliation and schema integration for multidatabasesystems.

Copyright © 1991 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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Printed Edition

Guy M. Lohman, Amílcar Sernadas, Rafael Camps (Eds.): 17th International Conference on Very Large Data Bases, September 3-6, 1991, Barcelona, Catalonia, Spain, Proceedings. Morgan Kaufmann 1991, ISBN 1-55860-150-3

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Referenced by

Prasenjit Mitra, Gio Wiederhold, Martin L. Kersten: A Graph-Oriented Model for Articulation of Ontology Interdependencies. EDBT 2000: 86-100
Goksel Aslan, Dennis McLeod: Semantic Heterogeneity Resolution in Federated Databases by Metadata Implantation and Stepwise Evolution. VLDB J. 8(2): 120-132(1999)
Silvana Castano, Valeria De Antonellis, Maria Grazia Fugini, Barbara Pernici: Conceptual Schema Analysis: Techniques and Applications. ACM Trans. Database Syst. 23(3): 286-332(1998)
Allen Moulton, Stéphane Bressan, Stuart E. Madnick, Michael Siegel: An Active Conceptual Model for Fixed Income Securities Analysis for Multiple Financial Institutions. ER 1998: 407-420
Stuart E. Madnick: Are We Moving Toward an Information SuperHighway or a Tower of Babel? The Challenge of Large-Scale Semantic Heterogeneity. ICDE 1996: 2-8
Stuart E. Madnick: From VLDB to VMLDB (Very MANY Large Data Bases): Dealing with Large-Scale Semantic Heterogenity. VLDB 1995: 11-16
J. Leon Zhao, Arie Segev, Abhirup Chatterjee: A Universal Relation Approach to Federated Database Management. ICDE 1995: 261-270
Edward Sciore, Michael Siegel, Arnon Rosenthal: Using Semantic Values to Falilitate Interoperability Among Heterogeneous Information Systems. ACM Trans. Database Syst. 19(2): 254-290(1994)
Stuart E. Madnick: The Voice of the Customer: Innovative and Useful Research Directions (Panel). VLDB 1993: 701-704
Stefano Spaccapietra, Christine Parent, Yann Dupont: Model Independent Assertions for Integration of Heterogeneous Schemas. VLDB J. 1(1): 81-126(1992)

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