Design and Development of Great-Recital Processing Created Methodology for Refining Semantic-Created Amalgamated Data Dispensation Technology
DOI:
https://doi.org/10.51983/ajsat-2021.10.1.2811Keywords:
SPARQL, CUDA, Linked Open Data, Parallelization, HPC, Semantic Web, Linked DataAbstract
Recovering RDF datasets from appropriated information sources has become a fundamental interaction to accomplish the vision of the semantic web. The semantic web vision advances an everyday growing of the semantic diagram that requires some preparing upgrades including SPARQL end-point and combined questions to secure the interminable extension. The current progressed elite figuring engineering has been growing quickly to conquer numerous issues including execution. Elite registering can possibly be utilized to improve the unified SPARQL inquiry and generally speaking activity including the performance and handling. Hence, this work surveys the procedures to advance the improvement on isolated and distant combined semantic-based information. That is, the superior figuring climate including equipment engineering and extraordinary design registering has been overviewed. Besides, working semantic diagram combination necessities is dissected. Besides, the current strategies to demonstrate SPARQL execution are considered. Furthermore, an examination about the usage of cutting edge equipment figuring engineering is investigated to upgrade the execution of the current SPARQL alliance administration activity.
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