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JQPro : Join query processing in a distributed system for big RDF data using the hash-merge join technique

In the last decade, the volume of semantic data has increased exponentially, with the number of Resource Description Framework (RDF) datasets exceeding trillions of triples in RDF repositories. Hence, the size of RDF datasets continues to grow. However, with the increasing number of RDF triples, com...

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Bibliographic Details
Main Authors: Elzein, Nahla Mohammed, Mazlina, Abdul Majid, Hashem, Ibrahim Abaker Targio, Ashraf Osman, Ibrahim, Abulfaraj, Anas W., Binzagr, Faisal
Format: Article
Language:English
Published: MDPI 2023
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/37620/1/JQPro_Join%20query%20processing%20in%20a%20distributed%20system%20for%20big%20rdf%20data%20using%20the%20hash-merge%20join%20technique.pdf
http://umpir.ump.edu.my/id/eprint/37620/
https://doi.org/10.3390/math11051275
https://doi.org/10.3390/math11051275
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http://umpir.ump.edu.my/id/eprint/37620/1/JQPro_Join%20query%20processing%20in%20a%20distributed%20system%20for%20big%20rdf%20data%20using%20the%20hash-merge%20join%20technique.pdf
http://umpir.ump.edu.my/id/eprint/37620/
https://doi.org/10.3390/math11051275
https://doi.org/10.3390/math11051275

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