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Ontologies in Cloud Computing—Review and Future Directions

Author

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  • JohnBosco Agbaegbu

    (Department of Computer Science, Federal University of Agriculture, Abeokuta, Ogun State P.M.B 2240, Nigeria)

  • Oluwasefunmi Tale Arogundade

    (Department of Computer Science, Federal University of Agriculture, Abeokuta, Ogun State P.M.B 2240, Nigeria)

  • Sanjay Misra

    (Department of Computer Science and Communication, Ostfold University College, 3001 Halden, Norway)

  • Robertas Damaševičius

    (Department of Software Department, Kaunas University of Technology, 44249 Kaunas, Lithuania)

Abstract

Cloud computing as a technology has the capacity to enhance cooperation, scalability, accessibility, and offers discount prospects using improved and effective computing, and this capability helps organizations to stay focused. Ontologies are used to model knowledge. Once knowledge is modeled, knowledge management systems can be used to search, match, visualize knowledge, and also infer new knowledge. Ontologies use semantic analysis to define information within an environment with interconnecting relationships between heterogeneous sets. This paper aims to provide a comprehensive review of the existing literature on ontology in cloud computing and defines the state of the art. We applied the systematic literature review (SLR) approach and identified 400 articles; 58 of the articles were selected after further selection based on set selection criteria, and 35 articles were considered relevant to the study. The study shows that four predominant areas of cloud computing—cloud security, cloud interoperability, cloud resources and service description, and cloud services discovery and selection—have attracted the attention of researchers as dominant areas where cloud ontologies have made great impact. The proposed methods in the literature applied 30 ontologies in the cloud domain, and five of the methods are still practiced in the legacy computing environment. From the analysis, it was found that several challenges exist, including those related to the application of ontologies to enhance business operations in the cloud and multi-cloud. Based on this review, the study summarizes some unresolved challenges and possible future directions for cloud ontology researchers.

Suggested Citation

  • JohnBosco Agbaegbu & Oluwasefunmi Tale Arogundade & Sanjay Misra & Robertas Damaševičius, 2021. "Ontologies in Cloud Computing—Review and Future Directions," Future Internet, MDPI, vol. 13(12), pages 1-22, November.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:12:p:302-:d:688744
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    References listed on IDEAS

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    1. A. M. Mustapha & O. T. Arogundade & Sanjay Misra & Robertas Damasevicius & Rytis Maskeliunas, 2020. "A systematic literature review on compliance requirements management of business processes," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(3), pages 561-576, June.
    2. A. M. Mustapha & O. T. Arogundade & Sanjay Misra & Robertas Damasevicius & Rytis Maskeliunas, 0. "A systematic literature review on compliance requirements management of business processes," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-16.
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    Cited by:

    1. Osama Abied & Othman Ibrahim & Siti Nuur-Ila Mat Kamal & Ibrahim M. Alfadli & Weam M. Binjumah & Norafida Ithnin & Maged Nasser, 2022. "Probing Determinants Affecting Intention to Adopt Cloud Technology in E-Government Systems," Sustainability, MDPI, vol. 14(23), pages 1-29, November.

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