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Dealing with Incompatibilities During a Knowledge Bases Fusion Process

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.
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Submitted on : Wednesday, February 14, 2018 - 4:29:09 PM
Last modification on : Thursday, October 22, 2020 - 11:30:08 AM
Long-term archiving on: : Sunday, May 6, 2018 - 10:22:25 AM


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  • HAL Id : hal-01709190, version 1
  • OATAO : 18840


Fabien Amarger, Jean-Pierre Chanet, Ollivier Haemmerlé, Nathalie Hernandez, Catherine Roussey. Dealing with Incompatibilities During a Knowledge Bases Fusion Process. International Conference on Conceptual Structures (ICCS 2016), Jul 2016, Annecy, France. pp. 252-260. ⟨hal-01709190⟩



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