Abstract
To better prevent the spread of Corona Virus Disease 2019 (COVID-19), scientific researchers need the data set to research and predict the trajectories of patients. It is a time-consuming task to extract the data from the web page.
We design and implement an annotation system for character behavior & event for users to extract patients’ basic information, trajectory information, and relationship information from the content of the web reports related to COVID-19 patients. Based on basic functions, permission management is added to protect data security and a clear interface is designed to optimize the user experience. To the best of our knowledge, this system is the first annotation system for COVID-19 data. The experiment results prove that our system has played a significant role in promoting the annotation work.
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Pi, C., Nie, P., Feng, Y., Xu, L. (2021). Design and Implementation of Annotation System for Character Behavior & Event Based on Spring Boot. In: Xing, C., Fu, X., Zhang, Y., Zhang, G., Borjigin, C. (eds) Web Information Systems and Applications. WISA 2021. Lecture Notes in Computer Science(), vol 12999. Springer, Cham. https://doi.org/10.1007/978-3-030-87571-8_66
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DOI: https://doi.org/10.1007/978-3-030-87571-8_66
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