Semantic Smart World Framework
Joint Authors
ElDahshan, K.
Elsayed, E. K.
Mancy, H.
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-20
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper presents a general Semantic Smart World framework (SSWF), to cover the Migratory birds’ paths.
This framework combines semantic and big data technologies to support meaning for big data.
In order to build the proposed smart world framework, technologies such as cloud computing, semantic technology, big data, data visualization, and the Internet of Things are hybrid.
We demonstrate the proposed framework through a case study of automatic prediction of air quality index and different weather phenomena in the different locations in the world.
We discover the association between air pollution and increasing weather conditions.
The experimental results indicate that the framework performance is suitable for heterogeneous big data.
American Psychological Association (APA)
ElDahshan, K.& Elsayed, E. K.& Mancy, H.. 2020. Semantic Smart World Framework. Applied Computational Intelligence and Soft Computing،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1126025
Modern Language Association (MLA)
ElDahshan, K.…[et al.]. Semantic Smart World Framework. Applied Computational Intelligence and Soft Computing No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1126025
American Medical Association (AMA)
ElDahshan, K.& Elsayed, E. K.& Mancy, H.. Semantic Smart World Framework. Applied Computational Intelligence and Soft Computing. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1126025
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1126025
