Flexible Queries over Knowledge Graphs

Yagüe, José Félix; Huitzil, Ignacio; Bobed, Carlos; Bobillo, Fernando

doi:10.1007/978-3-031-21422-6_14

Cited by 1 publication

(1 citation statement)

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“…This paper is a revised and extended version of Yagüe et al (2022) with the following main differences: a more general definition of the flexible queries (including both conjunctive and disjunctive interpretations, several hedges rather than a single one and top-k results), a more general algorithm to solve the queries, a description of an implementation in the FUzzy Knowledge Graphs (FUKG) tool and a discussion of a real use case involving DBpedia.…”

Section: Introductionmentioning

confidence: 99%

FUKG: answering flexible queries over knowledge graphs

Yagüe,

Huitzil,

Bobed

et al. 2023

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Purpose There is an increasing interest in the use of knowledge graphs to represent real-world knowledge and a common need to manage imprecise knowledge in many real-world applications. This paper aims to study approaches to solve flexible queries over knowledge graphs. Design/methodology/approach By introducing fuzzy logic in the query answering process, the authors are able to obtain a novel algorithm to solve flexible queries over knowledge graphs. This approach is implemented in the FUzzy Knowledge Graphs system, a software tool with an intuitive user-graphical interface. Findings This approach makes it possible to reuse semantic web standards (RDF, SPARQL and OWL 2) and builds a fuzzy layer on top of them. The application to a use case shows that the system can aggregate information in different ways by selecting different fusion operators and adapting to different user needs. Originality/value This approach is more general than similar previous works in the literature and provides a specific way to represent the flexible restrictions (using fuzzy OWL 2 datatypes).

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Section: Introductionmentioning

confidence: 99%