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This research aims to develop a robust method for managing SPARQL query sets to prevent query rot and ensure long-term functionality.

August 3, 2026Open Access

Snapquery: FAIR Management of Query Sets to Mitigate Query Rot in Knowledge Graphs

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This research aims to develop a robust method for managing SPARQL query sets to prevent query rot and ensure long-term functionality.
Introduced snapquery middleware to manage SPARQL queries intelligently.
Evaluated implementation across knowledge graph projects like Scholia and QLever.
Utilized information hiding and dependency inversion for improved query behavior.
Demonstrated improved query management performance with significant non-functional quality enhancements.
Validated the approach by reproducing existing use cases and measuring effectiveness.
Showed that adopting FAIR principles for queries leads to better knowledge graph maintenance.

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Randomized trial assesses query management in knowledge graphs, suggesting improvements for future queries.

Fahl et al. (2026) studied this question.

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