Approach of a Japanese Co-Occurrence Words Collection Method for Construction of Linked Open Data for COVID-19

Yuki Nagai, Tetsuya Oda, Nobuki Saito, Aoto Hirata, Masaharu Hirota, Kengo Katayama · 2020

The Coronavirus Disease (COVID-19) is spreading around the world. There is a possibility that lifestyles will continue to change in the future, and it is essential to take COVID-19 into account in our daily lives as well as in business. However, COVID-19 is causing unprecedented changes in our lives, with no known cure and no established measures to prevent infection. Therefore, it is necessary to consider these response measures based on various information about COVID-19. In this paper, we propose a method for collecting Japanese co-occurrence words with the goal of construct a Linked Open Data (LOD) for COVID-19.

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