Research Article
A Survey on Covid-19 Knowledge Graphs and Their Data Sources
@INPROCEEDINGS{10.1007/978-3-031-35078-8_13, author={Hanieh Khorashadizadeh and Sanju Tiwari and Sven Groppe}, title={A Survey on Covid-19 Knowledge Graphs and Their Data Sources}, proceedings={Intelligent Systems and Machine Learning. First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part I}, proceedings_a={ICISML}, year={2023}, month={7}, keywords={Covid-19 Knowledge graph Data source Data Covid-19 aspects}, doi={10.1007/978-3-031-35078-8_13} }- Hanieh Khorashadizadeh
Sanju Tiwari
Sven Groppe
Year: 2023
A Survey on Covid-19 Knowledge Graphs and Their Data Sources
ICISML
Springer
DOI: 10.1007/978-3-031-35078-8_13
Abstract
Since the onset of Covid-19 there has been a tremendous number of research to help deal better with the disease. This has produced a huge pile of data. The produced data might be contrary to each other and it is a tough task finding a specific data among the huge landscape of available data sources. Also answering a question that requires relating some research papers needs getting through piles of data and reading lots of literature. Knowledge graphs are very helpful tools to handle and structure all sort of data that is being produced every day. It also helps to find the uncovered relations between data. In this paper we reviewed the knowledge graphs that has dealt with Covid-19. Covid-19 has various aspects and each Knowledge graph normally deals with a specific domain of Covid-19 like drug repurposing, drug-drug interaction, etc. As they have different domains, their data sources also differs. In this paper an analysis over the knowledge graph data sources has been done. Mostly knowledge graphs have considered biomedical and medical aspects of Covid-19 and there has been rare knowledge graphs dealing with societal aspect and almost no work on economical and climate change aspects of the disease.
