期刊
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
卷 8, 期 10, 页码 4720-4728出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSTARS.2015.2494610
关键词
Big data; geoprocessing workflow; geospatial services; SensorWeb; social data mining
类别
资金
- National Basic Research Program of China [2011CB707105]
- National Natural Science Foundation of China [91438203, 41271397]
- Hubei Science and Technology Support Program [2014BAA087]
- Program for New Century Excellent Talents in University [NCET-13-0435]
- Fundamental Research Funds for the Central Universities [2042014kf0224]
In the big data era, scientific and social data could complement each other for enhanced data analysis and scientific discovery. Such capabilities could be achieved by taking an infrastructure-based approach, compared to existing algorithm-based approaches. This paper investigates how scientific and social data could work together in a spatial data infrastructure (SDI) enabled by interoperable services. It takes a human-as-sensor perspective and treats the social data as a special kind of sensor data, which could be mined and used for event detection in the Sensor Web environment. Sensor Web, social data mining, and geoprocessing workflows are combined together for timely decision support from social and sensor data. The result is an SDI approach for big data analytics. A use case on haze-related data mining and analysis illustrates the applicability of the approach.
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