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View Definition and Generalization for Database Integration in a Multidatabase System

Published: 01 November 1984 Publication History
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  • Abstract

    Access to a heterogeneous distributed collection of databases can be simplified by providing users with a logically integrated interface or global view. There are two aspects to database integration. Firstly, the local schemas may model objects and relationships differently and, secondly, the databases may contain mutually inconsistent data. This paper identifies several kinds of structural and data inconsistencies that might exist. It describes a versatile view definition facility for the functional data model and illustrates the use of this facility for resolving inconsistencies. In particular, the concept of generalization is extended to this model, and its importance to database integration is emphasized. The query modification algorithm for the relational model is extended to the semantically richer functional data model with generalization.

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    • (2024)Semantic Data Integration and Querying: A Survey and ChallengesACM Computing Surveys10.1145/365331756:8(1-35)Online publication date: 26-Apr-2024
    • (2011)Anonymity meets game theoryThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-010-0214-620:4(567-588)Online publication date: 1-Aug-2011
    • (2009)Privacy-preserving data mashupProceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology10.1145/1516360.1516388(228-239)Online publication date: 24-Mar-2009
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          Published In

          cover image IEEE Transactions on Software Engineering
          IEEE Transactions on Software Engineering  Volume 10, Issue 6
          November 1984
          257 pages

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          IEEE Press

          Publication History

          Published: 01 November 1984

          Author Tags

          1. Database
          2. data inconsistency
          3. data modeling
          4. database integration
          5. generalization

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          View all
          • (2024)Semantic Data Integration and Querying: A Survey and ChallengesACM Computing Surveys10.1145/365331756:8(1-35)Online publication date: 26-Apr-2024
          • (2011)Anonymity meets game theoryThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-010-0214-620:4(567-588)Online publication date: 1-Aug-2011
          • (2009)Privacy-preserving data mashupProceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology10.1145/1516360.1516388(228-239)Online publication date: 24-Mar-2009
          • (2007)Beauty and the beastProceedings of the 11th international conference on Database Theory10.1007/11965893_3(28-43)Online publication date: 10-Jan-2007
          • (2005)A comprehensive database schema integration method based on the theory of formal conceptsActa Informatica10.5555/2697419.269756041:7-8(475-524)Online publication date: 1-Jun-2005
          • (2005)ABACUSProceedings of the ACM/IFIP/USENIX 2005 International Conference on Middleware10.5555/1515890.1515892(21-41)Online publication date: 1-Nov-2005
          • (2005)ABACUSProceedings of the ACM/IFIP/USENIX 6th international conference on Middleware10.1007/11587552_2(21-41)Online publication date: 28-Nov-2005
          • (2005)Semantically rich materialisation rules for integrating heterogeneous databasesProceedings of the 22nd British National conference on Databases: enterprise, Skills and Innovation10.1007/11511854_5(60-69)Online publication date: 5-Jul-2005
          • (2004)Multiplex, Fusionplex and AutoplexACM SIGMOD Record10.1145/1041410.104141933:4(51-57)Online publication date: 1-Dec-2004
          • (2004)Element matching across data-oriented XML sources using a multi-strategy clustering modelData & Knowledge Engineering10.1016/j.datak.2003.06.00148:3(297-333)Online publication date: 1-Mar-2004
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