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...
Saved in:
Main Authors: | Nahla Mohammed Elzein, Mazlina Abdul Majid, Ibrahim Abaker Targio Hashem, Ashraf Osman Ibrahim Elsayed, Anas W. Abulfaraj, Faisal Binzagr |
---|---|
Format: | Article |
Language: | English English |
Published: |
Multidisciplinary Digital Publishing Institute (MDPI)
2023
|
Subjects: | |
Online Access: | https://eprints.ums.edu.my/id/eprint/42224/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/42224/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/42224/ https://doi.org/10.3390/math11051275 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
JQPro : Join query processing in a distributed system for big RDF data using the hash-merge join technique
by: Elzein, Nahla Mohammed, et al.
Published: (2023) -
Join query enhancement processing (jqpro) with big rdf data on a distributed system using hashing-merge join technique
by: Nahla Mohammedelzein, Elawad Babiker
Published: (2021) -
Distributed Join Query Processing for Big RDF Data
by: Elzein, Nahla Mohammed, et al.
Published: (2018) -
Managing big RDF data in clouds: challenges, opportunities, and solutions
by: Nahla, Mohammed Elzein, et al.
Published: (2018) -
Penghasilan Kertas Daripada Pulpa
Kenaf: Kesan Pemukulan Dan
Pengadunan Gentian .
by: Idris, Nurulhuda
Published: (2008)