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Detecting and Optimizing Flawed Queries in Triplestore-Based Knowledge Systems Using Reinforcement Learning: Reinforcement Learning for Secure SPARQL Query Optimization.

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Title: Detecting and Optimizing Flawed Queries in Triplestore-Based Knowledge Systems Using Reinforcement Learning: Reinforcement Learning for Secure SPARQL Query Optimization.
Authors: Hossain, S. M. Emdad1, emdad.hossain@unizwa.edu.om, Henchiri, Mourad M. H.1, mourad@unizwa.edu.om
Source: Engineering, Technology & Applied Science Research; Feb2026, Vol. 16 Issue 1, p32175-32185, 11p
Database: Applied Science & Technology Source
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        Value: 10.48084/etasr.13036
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        Text: English
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      – TitleFull: Detecting and Optimizing Flawed Queries in Triplestore-Based Knowledge Systems Using Reinforcement Learning: Reinforcement Learning for Secure SPARQL Query Optimization.
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              Text: Feb2026
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              Y: 2026
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