Comparison Between a Knowledge-Based System for COVID-19 using Compressed Internet of Things Data: A Review


  • Hindreen Rashid Abdulqader Department of Information Technology, Technical College of Informatics-Akre, Duhok Polytechnic University, Kurdistan, Iraq
  • Mayyadah Ramiz Mahmood Department of Computer Science, University of Zakho, Kurdistan, Iraq



The world is now experiencing a pneumonia outbreak caused by a novel coronavirus. The huge volume of medical literature on coronavirus has useful information that may assist medical research communities in addressing specific challenges. Health care professionals may improve their policies by quickly reviewing and getting specific data regarding coronavirus from various published research and the larger struggle against infectious disease. It has developed a technique for extracting actionable knowledge that automatically gathers pertinent data from sections and paragraphs related to a particular topic. There are continuous efforts to construct intelligent systems capable of automatically extracting useful information from many unstructured texts. In this paper, the comparison between many papers based on IoT and the knowledge base for solving the problem of Covid-19 has been conducted.


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How to Cite

Rashid Abdulqader, H., & Ramiz Mahmood, M. (2022). Comparison Between a Knowledge-Based System for COVID-19 using Compressed Internet of Things Data: A Review . Academic Journal of Nawroz University, 11(4), 129–138.



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