FUKG: answering flexible queries over knowledge graphs
Abstract
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).
Keywords
Acknowledgements
C. Bobed and F. Bobillo were supported by the I + D + i project PID2020-113903RB-I00, funded by MCIN/AEI/10.13039/501100011033 and by DGA/FEDER. I. Huitzil was partially supported by the Italian MUR under the PRIN project PINPOINT Prot. 2020FNEB27, CUP H45E21000210001.
Citation
Yagüe, J.F., Huitzil, I., Bobed, C. and Bobillo, F. (2023), "FUKG: answering flexible queries over knowledge graphs", The Electronic Library, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/EL-02-2023-0052
Publisher
:Emerald Publishing Limited
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