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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Managing big RDF data in clouds: Challenges, opportunities, and solutions
ترجمه فارسی عنوان مقاله:
مدیریت داده های RDF بزرگ در ابرها: چالش ها، فرصت ها و راه حل ها
منبع:
Sciencedirect - Elsevier - Sustainable Cities and Society, 39 (2018) 375-386: doi:10:1016/j:scs:2018:02:019
نویسنده:
Nahla Mohammed Elzeina, Mazlina Abdul Majida, Ibrahim Abaker Targio Hashemb,⁎ Ibrar Yaqoobc, Fadele Ayotunde Alabad, Muhammad Imrane
چکیده انگلیسی:
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 de
velopments 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.
Keywords: Semantic Web , Cloud computing , RDF graphs , Linked data , Big data
قیمت: رایگان
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