COVID-19 related Research-paper Recommendation System using Graph-database (Neo4j)
Date
2021-08-30
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Abstract
COVID-19 is the infectious disease caused by the most recently discovered corona virus. This new virus and disease were unknown before the outbreak began in Wuhan, China, in December 2019. Covid-19 pandemic is resulting high fatality rates globally, so knowing about it became vital. Until vaccines are available following prevention methods and taking necessary steps is the only way. It affects people in many ways and the symptoms also are not clear. Sometimes fever, body ache, dry cough, tiredness are the symptoms seen. It mainly causes problems in our lungs. In this project, we will develop a graph database from a large scientific literature to find the different aspect of covid-19 like transmission, risk factors, drug types and genome research related to corona virus. We will add recommendation system to the database by which one get research paper recommendation which will be helpful for the further researcher as they will get recommendation according to their interest.
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Electrical and Computer Engineering
Publisher
North South University