A Cross Sectional Analysis Platform for Local Problems based on Integration of Public Information, Open Data and Social Information
Project/Area Number |
16K12533
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Multi-year Fund |
Research Field |
Web informatics, Service informatics
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Research Institution | Osaka University |
Principal Investigator |
KOZAKI Kouji 大阪大学, 産業科学研究所, 准教授 (00362624)
|
Co-Investigator(Kenkyū-buntansha) |
川村 隆浩 電気通信大学, 大学院情報理工学研究科, 客員准教授 (10426653)
|
Project Period (FY) |
2016-04-01 – 2018-03-31
|
Project Status |
Completed (Fiscal Year 2017)
|
Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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Keywords | オープンデータ / オントロジー / 地域課題 / ソーシャル情報 / 広報情報 / ソーシャルメディア |
Outline of Final Research Achievements |
We developed information technologies which combine different kinds of data such as public information, open data and social information so that the users analyze local problems. The results include 1) a system automatically collects public information by local governments and construct a knowledge base (LOD) for data analysis, 2) a method to develop a knowledge base (LOD) for social problems based on public information and open data by local governments using crowd sourcing, and 3) a case study of data analysis based on combinations of GPS trajectory data and open data.
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Report
(3 results)
Research Products
(29 results)