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It constructs a query plan for a SPARQL query (containing one or more graph patterns), searches the filtering index to quickly identify candidate groups that may contain matches for the query, and rewrites the original query to produce an optimized query for each candidate.
A cross-layer optimized query routing mismatch alleviation (QRMA) architecture is proposed to mitigate the problem of query routing mismatch (QRM) phenomenon between the structured peer to peer (P2P) overlay and the routing layer in mobile Ad-hoc networks (MANETs), which is an important issue that results in the inefficiency of lookup process in the system.
Optimized Query Forgery (OQF) [18] provides a theoretical approach to generate fake queries by measuring the Kullback-Leibler divergence between the user profile and the population distribution.
This problem is solved in [7], where a method is proposed to obtain optimized query refinements of assertion axioms in rough (mathcal {ALC}) [6].
The system is able to manage, query, and visualize billions of tweets with main memory indexes, an optimized query engine, a recovery manager, and an interactive visualizer.
We present a method to obtain optimized query refinements of assertion axioms in the paraconsistent rough description logic (mathcal {PR_{textit {ALC}}}), a four-valued paraconsistent version of the rough (mathcal {ALC}), which is grounded on Belnap's Logic.
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To analyze the effect of the two optimization metrics on the performance, we compared the performance of the optimized queries with respect to the AUC, BEDROC, and awROCE5% performance on the external test splits.
The optimized queries are then executed using an existing SPARQL processor that supports quads to produce the final results.
The quality of optimized queries was tested using the Latin Square experiment provided by Affymetrix.
First, the BEDROC optimized queries tend to enrich molecules of larger chemotype clusters, which is penalized in the awROCE metric.
Each of the five Ensembl Genomes portals also contains a BioMart for optimized querying of the data.
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