COVID-19 Q&A Search Engine
Organisation size: Small
Publication date: 26 Feb 2020
Credit: Yu-Ju Lee, Pei-Yu Chen, Tzu-Wei Liu, Ling-Wei Hsu, Kai-Wen Hsiung, Chao-Yen Li, Hsin-Chan Chieh
COVID-19 has ravaged the world since the beginning of 2020, and there are many specious messages spread on the Internet until now. In order to establish correct information database, we have compiled the latest information from the Daily Press Conference of the Central Epidemic Command Center, hoping to answer the public’s doubts.We published these information in the form of Q&A so that people could find the answers they need in the simplest way.
We not only update the latest official information regularly, but also sort out the questions that people often raise on the internet and ask the government. We hope to act as a rumor filter on the Internet where false information flows, helping readers get the correct information.
This project is made by Vue.js and Elasticsearch to implement a search engine based on the FAQ created by READr begin from the time of the start when COVID-19 have impact. Elasticsearch is a well-known open source framework of search, it has a very well document to reference with and many powerful features, which help developer easy to integrate a search engine with web page by needs. COVID-19 had made a greate impact of our life and changed the lifestyle we living before, we have so many questions about how COVID-19 will affect to our life and how to face with, a search engine can answer these questions.
What was the hardest part of this project?
In addition to accurately identifying the people’s questions, every official news information must be transformed into easy-to-understand answers, continuously updating the database also is not an easy task. Which means that we must have someone to track COVID-19 related information and the press conference of the Central Epidemic Command Center every day. As the confrontation with the epidemic lengthens, the government’s contingency measures are changed from time to time, and we have to follow up and amend the previous problems. These are highly dependent on manual handling.
What can others learn from this project?
By using this database, people can get the latest information about COVID-19 and clarify possible errors.