[3H1-GS-3d] 知識の利用：オントロジー

[3H1-GS-3d-02] Proposal of COVID-19 infection risk ontology focusing on situations of activities and spaces

〇Shusaku Egami¹, Ikki Ohmukai², Yasunori Yamamoto³, Masahide Kanzaki⁴, Masako Nomoto⁵, Shoichi Sakane⁶, Maori Ito⁷, Junko Ami⁸, Takashi Okumura^9,10 (1. National Institute of Advanced Industrial Science and Technology, 2. Univ. of Tokyo, 3. Database Center for Life Science, 4. Xenon Limited Partners, 5. RIKEN, 6. Cisco Systems, G.K., 7. PLOD info, 8. WIDE Project, 9. Kitami Institute of Technology, 10. National Institute of Public Health)

Keywords:Ontology, Semantic Web, COVID-19, Reasoning, Knowledge Graph

To prevent the spread of the COVID-19, the Japanese government has indicated situations that may cause infections, as "Three Cs" and "Five scenes." To calculate the risk of individual behaviors based on the simplified rules, formal definition of such situations are needed, together with the behavioral and spatial information of people. In this study, we propose an ontology that can infer the degree of Three Cs in peoples' behavior from the interview of infected patients. The inference can be used to help the manual survey by public health authorities, and analysis of potential risks hidden in the actual tempo-spatial behaviors of people. This paper also discusses possible applications of the proposed ontology.