FUKG: answering flexible queries over knowledge graphs

Yagüe, José Félix ; Huitzil, Ignacio (Universidad de Zaragoza) ; Bobed, Carlos (Universidad de Zaragoza) ; Bobillo, Fernando (Universidad de Zaragoza)

Resumen: 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).

Idioma: Inglés

DOI: 10.1108/EL-02-2023-0052

Año: 2023

Publicado en: Electronic library 42, 3 (2023), 368-392
ISSN: 0264-0473

Factor impacto JCR: 1.5 (2023)

Categ. JCR: INFORMATION SCIENCE & LIBRARY SCIENCE rank: 70 / 161 = 0.435 (2023) - Q2 - T2

Factor impacto CITESCORE: 4.2 - Library and Information Sciences (Q1) - Computer Science Applications (Q2)

Factor impacto SCIMAGO: 0.447 - Library and Information Sciences (Q2) - Computer Science Applications (Q3)

Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2020-113903RB-I00

Tipo y forma: Artículo (PostPrint)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)