| Autor: |
Yagüe, José Félix1 (AUTHOR) 755416@unizar.es, Huitzil, Ignacio2 (AUTHOR) ignacio.huitzil@unimib.it, Bobed, Carlos1 (AUTHOR) cbobed@unizar.es, Bobillo, Fernando1 (AUTHOR) fbobillo@unizar.es |
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| Zdroj: |
Electronic Library. 2024, Vol. 42 Issue 3, p368-392. 25p. |
| Abstrakt: |
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). [ABSTRACT FROM AUTHOR] |
| Databáze: |
Library, Information Science & Technology Abstracts |
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