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A Logical Framework for Integrating Inconsistent Information in Multiple Databases

  • Sandra de Amo
  • Walter A. Carnielli
  • João Marcos
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2284)

Abstract

When integrating data coming from multiple different sources we are faced with the possibility of inconsistency in databases. In this paper, we use one of the paraconsistent logics introduced in [9,7] (LFI1) as a logical framework to model possibly inconsistent database instances obtained by integrating different sources.We propose a method based on the sound and complete tableau proof system of LFI1 to treat both the integration process and the evolution of the integrated database submitted to users updates. In order to treat the integrated database evolution, we introduce a kind of generalized database context, the evolutionary databases, which are databases having the capability of storing and manipulating inconsistent information and, at the same time, allowing integrity constraints to change in time. We argue that our approach is sufficiently general and can be applied in most circumstances where inconsistency may arise in databases.

Keywords

Proof System Integrity Constraint Database Schema Logical Framework Ground Atom 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Sandra de Amo
    • 1
  • Walter A. Carnielli
    • 2
  • João Marcos
    • 3
  1. 1.Faculty of Computer ScienceFederal University of UberlândiaUberlândiaBrazil
  2. 2.Group of Theoretical and Applied LogicCLE/IFCH - State University of CampinasCampinasBrazil
  3. 3.Centre for Logic and Philosophy of ScienceGhent UniversityBelgium

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