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Fuzzy quantified structural queries to fuzzy graph databases

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2016) 9858 LNAI 260-273
DOI: 10.1007/978-3-319-45856-4_18
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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 relevant data is also described.

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Pivert, O., Slama, O., & Thion, V. (2016). Fuzzy quantified structural queries to fuzzy graph databases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9858 LNAI, pp. 260–273). Springer Verlag. https://doi.org/10.1007/978-3-319-45856-4_18

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