Browse > Article
http://dx.doi.org/10.7319/kogsis.2016.24.4.089

Providing Service Model Based on Concept and Requirements of Spatial Big Data  

Kim, Geun Han (Department of Geoinformatics, University of Seoul & Researcher, Korea Environment Institute)
Jun, Chul Min (Department of Geoinformatics, University of Seoul)
Jung, Hui Cheul (Korea Environment Institute)
Yoon, Jeong Ho (Korea Environment Institute)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.24, no.4, 2016 , pp. 89-96 More about this Journal
Abstract
By reviewing preceding studies of big data and spatial big data, spatial big data was defined as one part of big data, which spatialize location information and systematize time series data. Spatial big data, as one part of big data, should not be separated with big data and application methods within the system is to be examined. Therefore in this study, services that spatial big data is required to provide were suggested. Spatial big data must be available of various spatial analysis and is in need of services that considers present and future spatial information. Not only should spatial big data be able to detect time series changes in location, but also analyze various type of big data using attribute information of spatial data. To successfully provide the requirements of spatial big data and link various type of big data with spatial big data, methods of forming sample points and extracting attribute information were proposed in this study. The increasing application of spatial information related to big data is expected to attribute to the development of spatial data industry and technological advancement.
Keywords
Big Data; Spatial Big Data; Spatial Big Data Service; Spatial Big Data Requirements; Extraction of Attribute in Formation of Sampling Points;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Ahn, J. W., Yi, M. S and Shin, D. B., 2013, Study for spatial big data concept and system building, Journal of Korea Spatial Information Society, Vol. 21, No. 5, pp. 43-51.
2 Beyer, M. A. and Laney, D., 2012, The importance of big data: a definition, Technical report, Gartner, USA, pp. 3-4.
3 Dijcks, J. P., 2014, Oracle: big data for the enterprise, Technical report, Oracle, USA, pp. 3-4.
4 Gantz, J. and Reinse, D., 2011, Extracting value from Chaos, Technical report, IDC, USA, pp. 1-12.
5 James, M. and Michael, C., 2011, Big data : the next frontier for innovation, competition, and productivity, Technical report, McKinseyGlobal Institute, USA, p.1.
6 Kim, D. H. et al., 2014, The use of spatial big data for planning policy support, Research report, KRIHS, Republic of Korea, pp. 13-26.
7 Kim, D. J. and Yoon, S. Y., 2013, Big data utilization for monitoring territorial policy responses and predicting policy demand, Research report, KRIHS, Republic of Korea, pp. 21-69.
8 Kim, D. J., Hwang, M. H., Yoon, S. Y. and Seo, T. S., 2014, A study on building and utilization of spatial knowledge platform for scientific territorial planning(1), Research report, KRIHS, Republic of Korea, pp. 1-49.
9 Kim, H. S., 2014, Policy direction to the establishment and application of spatial big data system, Planning and Policy, Vol. 389, No. 4, pp. 6-11.
10 Kim, M. J., Kim, D. J. and Lee, Y. J., 2013, Spatial big data utiliztion for national land policy, Research report, KRIHS, Republic of Korea, pp. 21-69.
11 Lee, Y. J., Kim, M. J. and Em, E. S., 2014, Implementation of welfare and safety national land and application of spatial big data, Planning and Policy, Vol. 389, No. 4, pp. 12-21.
12 National Council on Informatization Strategies, 2011, Implementation of smart government using big data, Research report, National Council on Informatization Strategies, Republic of Korea, pp. 1-27.
13 Park, S. M et al., 2013, The new competitiveness of firms big data curation, Technical report, SERI, Republic of Korea, pp. 1-17.
14 Teradata, 2013, Teradata unified data architecture, Technical report, Teradata, USA, pp. 1-6.
15 Yi, M. S., Lee, C. H. and Kim, J. Y., 2014, Big data analysis on demands for environmental polices, Research report, KEI, Republic of Korea, pp. 5-9.
16 Yu, S. C., Choi, W. W., Shin, D. B. and Ahn, J. W., 2014, A Study on concept and services framework of geo-spatial big data, Journal of Korea Spatial Information Society, Vol. 22, No. 6, pp. 13-21.   DOI