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DOI: 10.14569/IJACSA.2022.0131285
PDF

A Semantic NoSQL Application Program Interface for Big Data

Author 1: K. ElDahshan
Author 2: E. K. Elsayed
Author 3: H. Mancy
Author 4: A. AbuBakr

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 12, 2022.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Complexity, heterogeneity, schemaless-ness, data visualization, and extraction of consistent knowledge from Big Data are the biggest challenges in NoSQL databases. This paper presents a general semantic NoSQL Application Program Interface that integrates and converts NoSQL databases to semantic representation. The generated knowledge base is suitable for visualization and knowledge extraction from different Big Data sources. The authors use a case study of the COVID-19 pandemic prediction and other weather occurrences in various parts of the world to illustrate the suggested API. The Authors find a correlation between COVID-19 spread and deteriorating weather. According to the experimental findings, the API's performance is enough for heterogeneous Big Data.

Keywords: NoSQL database; formatting; semantic technology; data integration; pandemic prediction

K. ElDahshan, E. K. Elsayed, H. Mancy and A. AbuBakr, “A Semantic NoSQL Application Program Interface for Big Data” International Journal of Advanced Computer Science and Applications(IJACSA), 13(12), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0131285

@article{ElDahshan2022,
title = {A Semantic NoSQL Application Program Interface for Big Data},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0131285},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0131285},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {12},
author = {K. ElDahshan and E. K. Elsayed and H. Mancy and A. AbuBakr}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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