A Cross Sectional Analysis Platform for Local Problems based on Integration of Public Information, Open Data and Social Information

2017 Fiscal Year Final Research Report

• Project/Area Number: 16K12533
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Web informatics, Service informatics
• 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
• 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

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.

Free Research Field

オントロジ―工学