Design and Implementation of Annotation System for Character Behavior & Event Based on Spring Boot

Chunying Pi, Peng Nie, Yongqi Feng, Licheng Xu

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.