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Managing big RDF data in clouds: challenges, opportunities, and solutions

The expansion of the services of the Semantic Web and the evolution of cloud computing technologies have significantly enhanced the capability of preserving and publishing information in standard open web formats, such that data can be both human-readable and machine-processable. This situation meet...

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Main Authors: Nahla, Mohammed Elzein, Mazlina, Abdul Majid, Hashem, Ibrahim Abaker Targio, Yaqoob, Ibrar, Alaba, Fadele Ayotunde, Muhammad, Imran
Format: Article
Language:English
Published: Elsevier Ltd 2018
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/23076/1/Managing%20big%20RDF%20data%20in%20clouds-%20Challenges%2C%20opportunities%2C%20and%20solutions.pdf
http://umpir.ump.edu.my/id/eprint/23076/
https://doi.org/10.1016/j.scs.2018.02.019
https://doi.org/10.1016/j.scs.2018.02.019
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spelling my.ump.umpir.230762020-03-02T08:26:37Z http://umpir.ump.edu.my/id/eprint/23076/ Managing big RDF data in clouds: challenges, opportunities, and solutions Nahla, Mohammed Elzein Mazlina, Abdul Majid Hashem, Ibrahim Abaker Targio Yaqoob, Ibrar Alaba, Fadele Ayotunde Muhammad, Imran QA76 Computer software The expansion of the services of the Semantic Web and the evolution of cloud computing technologies have significantly enhanced the capability of preserving and publishing information in standard open web formats, such that data can be both human-readable and machine-processable. This situation meets the challenge in the current big data era to effectively store, retrieve, and analyze resource description framework (RDF) data in swarms. This paper presents an overview of the existing challenges, evolving opportunities, and current developments towards managing big RDF data in clouds and provides guidance and substantial lessons learned from research in big data management. In particular, it highlights the basic principles of RDF data management, which allow researchers to know the most recent stage in developing RDF graphs and its achievement. Additionally, the research provides comparative studies among current storage systems and query processing approaches in understanding their efficiency. The paper also provides a vision for long-term future research directions by providing highlights on future challenges and opportunities in RDF domain. Elsevier Ltd 2018-05 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23076/1/Managing%20big%20RDF%20data%20in%20clouds-%20Challenges%2C%20opportunities%2C%20and%20solutions.pdf Nahla, Mohammed Elzein and Mazlina, Abdul Majid and Hashem, Ibrahim Abaker Targio and Yaqoob, Ibrar and Alaba, Fadele Ayotunde and Muhammad, Imran (2018) Managing big RDF data in clouds: challenges, opportunities, and solutions. Sustainable Cities and Society, 39. pp. 375-386. ISSN 2210-6707 https://doi.org/10.1016/j.scs.2018.02.019 https://doi.org/10.1016/j.scs.2018.02.019
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Nahla, Mohammed Elzein
Mazlina, Abdul Majid
Hashem, Ibrahim Abaker Targio
Yaqoob, Ibrar
Alaba, Fadele Ayotunde
Muhammad, Imran
Managing big RDF data in clouds: challenges, opportunities, and solutions
description The expansion of the services of the Semantic Web and the evolution of cloud computing technologies have significantly enhanced the capability of preserving and publishing information in standard open web formats, such that data can be both human-readable and machine-processable. This situation meets the challenge in the current big data era to effectively store, retrieve, and analyze resource description framework (RDF) data in swarms. This paper presents an overview of the existing challenges, evolving opportunities, and current developments towards managing big RDF data in clouds and provides guidance and substantial lessons learned from research in big data management. In particular, it highlights the basic principles of RDF data management, which allow researchers to know the most recent stage in developing RDF graphs and its achievement. Additionally, the research provides comparative studies among current storage systems and query processing approaches in understanding their efficiency. The paper also provides a vision for long-term future research directions by providing highlights on future challenges and opportunities in RDF domain.
format Article
author Nahla, Mohammed Elzein
Mazlina, Abdul Majid
Hashem, Ibrahim Abaker Targio
Yaqoob, Ibrar
Alaba, Fadele Ayotunde
Muhammad, Imran
author_facet Nahla, Mohammed Elzein
Mazlina, Abdul Majid
Hashem, Ibrahim Abaker Targio
Yaqoob, Ibrar
Alaba, Fadele Ayotunde
Muhammad, Imran
author_sort Nahla, Mohammed Elzein
title Managing big RDF data in clouds: challenges, opportunities, and solutions
title_short Managing big RDF data in clouds: challenges, opportunities, and solutions
title_full Managing big RDF data in clouds: challenges, opportunities, and solutions
title_fullStr Managing big RDF data in clouds: challenges, opportunities, and solutions
title_full_unstemmed Managing big RDF data in clouds: challenges, opportunities, and solutions
title_sort managing big rdf data in clouds: challenges, opportunities, and solutions
publisher Elsevier Ltd
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/23076/1/Managing%20big%20RDF%20data%20in%20clouds-%20Challenges%2C%20opportunities%2C%20and%20solutions.pdf
http://umpir.ump.edu.my/id/eprint/23076/
https://doi.org/10.1016/j.scs.2018.02.019
https://doi.org/10.1016/j.scs.2018.02.019
_version_ 1662754709630353408
score 13.211869

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