2020 年 140 巻 8 号 p. 905-915
Societies in Japan face many social issues today. To address these issues, the government is exploring ways to solve problems using data. The purpose of this study is to provide support using existing data for grasping the current situation, taking up the problem of bicycle parking environment in a university as an example of social issues. Specifically, we tried to design a unique schema and build knowledge graph for integration of various on-campus data. Then we applied and modified the knowledge graph completion methods to improve efficiency and accuracy. For the knowledge graph constructed in this study, the number of bicycles was estimated by the conventional method and the proposed method, and the transition of the sum of absolute value errors was compared. The proposed method exceeded the existing method in efficiency and accuracy. In addition, approximately 650 data aggregated at any date and place were able to be estimated about 54 units correctly, compared to the conventional method. Finally, we improved efficiency and accuracy of knowledge graph completion methods.
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