A Semantic NoSQL Application Program Interface for Big Data

被引:0
|
作者
ElDahshan, K. [1 ]
Elsayed, E. K. [2 ,3 ]
Mancy, H. [2 ]
AbuBakr, A. [2 ]
机构
[1] Al Azhar Univ, Dept Math, Fac Sci, Cairo, Egypt
[2] Al Azhar Univ, Fac Sci Girls, Dept Math, Cairo, Egypt
[3] Canadian Int Coll, Comp Sci Inst, Cairo, Egypt
关键词
NoSQL database; formatting; semantic technology; data integration; pandemic prediction;
D O I
10.14569/IJACSA.2022.0131285
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:715 / 726
页数:12
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