Developing a Semantic based Multi Agent System Model using Machine Learning Algorithm for Predicting and Analyzing Pattern of COVID19 Attack

Abstract

A novel corona virus has resulted in an ongoing outbreak of viral pneumonia in China and other countries .As we know that this time this virus make a huge noise due to this virus affect many countries go through lockdown phase. In this paper author tries to proposed a model which predict chances  for spreading this diseases using S set algorithm and  machine learning based software  agent. apart from this author tries to build a semantic model which store that type similar pattern. 

Keywords: Semantic web, EM algorithm, Hypothesis ,Space Hypothesis, Pattern Matcher Agents, Agility model.