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Title: A Tool to Perform Semantic and Imprecise Queries on non-scalar Data
Authors: Martínez-Cruz, Carmen
Serrano, José M.
Vila, Amparo
Abstract: Imprecision in queries has being managed using fuzzy logic techniques in the last few decades. Fuzzy logic techniques represent uncertainty formally and it allows to manage imprecision on scalar values in an easy and accurate way. The problem arises when users want to deal with semantics and nonscalar data at once. In this situation, fuzzy logic helps us to manage uncertainty, but it lacks of the flexibility that the semantic properties of words imply. Nowadays, ontologies have addressed this problem by the establishment of the semantic relationships among terms. Here, we present a software that allows us to combine fuzzy and semantic queries on non-scalar data. As a proof of concept, we will show some examples of queries performed on a real database about olive trees plantations.
Keywords: Ontologies
Fuzzy logic
Relational databases
Issue Date: Jul-2017
Publisher: IEEE
Citation: C. Martínez-Cruz, J. M. Serrano and A. Vila, "A tool to perform semantic and imprecise queries on non-scalar data," 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, Italy, 2017, pp. 1-6, doi: 10.1109/FUZZ-IEEE.2017.8015693.
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