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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier Ltd
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/23076/1/Managing%20big%20RDF%20data%20in%20clouds-%20Challenges%2C%20opportunities%2C%20and%20solutions.pdf |
| _version_ | 1796993049799163904 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:28:25Z |
| format | Article |
| id | UMPir23076 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:28:25Z |
| publishDate | 2018 |
| publisher | Elsevier Ltd |
| record_format | dspace |
| spelling | UMPir230762020-03-02T08:26:37Z 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. (Published) https://doi.org/10.1016/j.scs.2018.02.019 https://doi.org/10.1016/j.scs.2018.02.019 |
| 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 |
| title | 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_short | Managing big RDF data in clouds: challenges, opportunities, and solutions |
| title_sort | managing big rdf data in clouds challenges opportunities and solutions |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/23076/1/Managing%20big%20RDF%20data%20in%20clouds-%20Challenges%2C%20opportunities%2C%20and%20solutions.pdf |
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