Dealing with Incompatibilities During a Knowledge Bases Fusion Process

  • Fabien Amarger
  • Jean-Pierre Chanet
  • Ollivier Haemmerlé
  • Nathalie Hernandez
  • Catherine Roussey
Conference paper

DOI: 10.1007/978-3-319-40985-6_19

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9717)
Cite this paper as:
Amarger F., Chanet JP., Haemmerlé O., Hernandez N., Roussey C. (2016) Dealing with Incompatibilities During a Knowledge Bases Fusion Process. In: Haemmerlé O., Stapleton G., Faron Zucker C. (eds) Graph-Based Representation and Reasoning. ICCS 2016. Lecture Notes in Computer Science, vol 9717. Springer, Cham

Abstract

More and more data sets are published on the linked open data. Reusing these data is a challenging task as for a given domain, several data sets built for specific usage may exist. In this article we present an approach for existing knowledge bases fusion by taking into account incompatibilities that may appear in their representations. Equivalence mappings established by an alignment tool are considered in order to generate a subset of compatible candidates. The approach has been evaluated by domain experts on datasets dealing with agriculture.

Keywords

Knowledge acquisition Knowledge base fusion Incompatibilities 

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Fabien Amarger
    • 2
  • Jean-Pierre Chanet
    • 1
  • Ollivier Haemmerlé
    • 2
  • Nathalie Hernandez
    • 2
  • Catherine Roussey
    • 1
  1. 1.Irstea, UR TSCF Technologies et systèmes d’information pour les agrosystèmesAubièreFrance
  2. 2.IRIT, UMR 5505, Université Toulouse – Jean JaurèsToulouse CedexFrance

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