Keynote

Title: From Data Collection Merit to Data Connection Merit for Smart Sustainable Cities

Speaker: Koji Zettsu, Big Data Integration Research Center, National Institute of Information and Communications Technology, Japan

Abstract

Smart data refers to the IoT data that has been processed to produce valuable data be turned into actionable information, which can be used for intelligence, planning, controlling and decision making efficiently and effectively by governments, industries and citizens. Unprecedentedly large amount and variety of sensory data can be collected to explore how these big data can become smart data and offer intelligence. Advanced data modeling and analytics, as well as data science solutions, are indispensable for transforming big data into smart data. For accelerating the utilization of smart data, NICT Real Space Information Analytics Project makes efforts to develop a cross-data analytics technology for utilizing data obtained from a variety of sensing technologies and different kinds of social big data to construct a platform that will help develop and expand smart services with a view towards smart sustainable cities. We are developing the xData Platform on NICT's Integrated Testbed, which is a platform implementing functions of a data loader for data collection, retrieval and conversion from a variety of data sources, association mining for spatiotemporal data integration and discovery of association rules, machine learning for prediction of spatiotemporal association patterns , and creation and distribution of prediction result data in a GIS format for route search and alert notification. For accelerating open innovation using the xData Platform, we conducted field experiments with participation of citizens.

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