Managing big RDF data in clouds: Challenges, opportunities, and solutions
Autor: | Ibrahim Abaker Targio Hashem, Ibrar Yaqoob, Fadele Ayotunde Alaba, Mazlina Abdul Majid, Muhammad Imran, Nahla Mohammed Elzein |
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Rok vydání: | 2018 |
Předmět: |
Renewable Energy
Sustainability and the Environment Computer science business.industry Big data management Data management Geography Planning and Development Big data Transportation Cloud computing 02 engineering and technology computer.file_format Data science Domain (software engineering) Publishing 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing RDF business Semantic Web computer Civil and Structural Engineering |
Zdroj: | Sustainable Cities and Society. 39:375-386 |
ISSN: | 2210-6707 |
Popis: | 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. |
Databáze: | OpenAIRE |
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