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Fuzzy Quantified Structural Queries to Fuzzy Graph Databases

Abstract : This paper deals with fuzzy quantified queries in a graph database context. We study a particular type of structural quantified query and show how it can be expressed in the language FUDGE that we previously proposed. A processing strategy based on a compilation mechanism that derives regular (nonfuzzy) queries for accessing the rel- evant data is also described.
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Contributor : Virginie Thion <>
Submitted on : Thursday, June 23, 2016 - 3:23:28 PM
Last modification on : Friday, March 6, 2020 - 4:46:02 PM


  • HAL Id : hal-01336670, version 1


Olivier Pivert, Olfa Slama, Virginie Thion. Fuzzy Quantified Structural Queries to Fuzzy Graph Databases. Proceedings of the International Conference on Scalable Uncertainty Management (SUM), Sep 2016, Nice, France. ⟨hal-01336670⟩



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