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...

Full description

Bibliographic Details
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/ http://umpir.ump.edu.my/id/eprint/23076/ http://umpir.ump.edu.my/id/eprint/23076/ http://umpir.ump.edu.my/id/eprint/23076/1/Managing%20big%20RDF%20data%20in%20clouds-%20Challenges%2C%20opportunities%2C%20and%20solutions.pdf

id	ump-23076
recordtype	eprints
spelling	ump-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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
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/ http://umpir.ump.edu.my/id/eprint/23076/ http://umpir.ump.edu.my/id/eprint/23076/ http://umpir.ump.edu.my/id/eprint/23076/1/Managing%20big%20RDF%20data%20in%20clouds-%20Challenges%2C%20opportunities%2C%20and%20solutions.pdf
first_indexed	2023-09-18T22:34:26Z
last_indexed	2023-09-18T22:34:26Z
_version_	1777416500946141184

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

Similar Items