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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Communication dans un congrès
Proceedings of the International Conference on Scalable Uncertainty Management (SUM), Sep 2016, Nice, France
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https://hal.archives-ouvertes.fr/hal-01336670
Contributeur : Virginie Thion <>
Soumis le : jeudi 23 juin 2016 - 15:23:28
Dernière modification le : mercredi 29 novembre 2017 - 15:40:47

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  • HAL Id : hal-01336670, version 1

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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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