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

Nahla Mohammed Elzein, Mazlina Abdul Majid, Ibrahim Abaker Targio Hashem, Ibrar Yaqoob, Fadele Ayotunde Alaba, Muhammad Imran

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

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.

Original languageBritish English
Pages (from-to)375-386
Number of pages12
JournalSustainable Cities and Society
Volume39
DOIs
StatePublished - May 2018

Keywords

  • Big data
  • Cloud computing
  • Linked data
  • RDF graphs
  • Semantic Web

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