Detecting Suspect Answers in the Presence of Inconsistent Information

  • Olivier Pivert
  • Henri Prade
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7153)

Abstract

In the presence of inconsistent information, two classical approaches consist in (i) cleaning the information by means of an automated process, for instance by performing a minimal set of updates aimed at restoring consistency, (ii) returning only the answers that are certain with respect to a given query, as in consistent query answering. In this paper, we propose an alternative approach, somewhat inspired by artificial intelligence works, which is aimed at warning the user about the presence of suspect answers in a query result. Roughly speaking, the idea is that such elements can be identified inasmuch as they can be found in the answers to contradictory queries. This idea may also be refined by introducing some gradedness in terms of cardinality or similarity.

Keywords

Functional Dependency Integrity Constraint Information Fusion Conjunctive Query Inconsistent Information 
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 2012

Authors and Affiliations

  • Olivier Pivert
    • 1
  • Henri Prade
    • 2
  1. 1.Irisa – Enssat, University of Rennes 1 Technopole AnticipaLannion CedexFrance
  2. 2.IRIT, CNRS and University of ToulouseToulouse Cedex 9France

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