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http://dx.doi.org/10.7232/JKIIE.2015.41.1.064

Topic Model Analysis of Research Trend on Spatial Big Data  

Lee, Won Sang (Department of Information and Industrial Engineering, Yonsei University)
Sohn, So Young (Department of Information and Industrial Engineering, Yonsei University)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.41, no.1, 2015 , pp. 64-73 More about this Journal
Abstract
Recent emergence of spatial big data attracts the attention of various research groups. This paper analyzes the research trend on spatial big data by text mining the related Scopus DB. We apply topic model and network analysis to the extracted abstracts of articles related to spatial big data. It was observed that optics, astronomy, and computer science are the major areas of spatial big data analysis. The major topics discovered from the articles are related to mobile/cloud/smart service of spatial big data in urban setting. Trends of discovered topics are provided over periods along with the results of topic network. We expect that uncovered areas of spatial big data research can be further explored.
Keywords
Spatial Big Data; Literature Survey; Topic Model; Text Mining; Topic Network;
Citations & Related Records
Times Cited By KSCI : 9  (Citation Analysis)
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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, 21(5), 43-51.   과학기술학회마을   DOI
2 Amirian, P., Basiri, A., and Winstanley, A. (2014), Evaluation of Data Management Systems for Geospatial Big Data. In Computational Science and Its Applications-ICCSA 2014, Springer International Publishing, 678-690.
3 Bae, J. H., Han, N. G., and Song, M. (2014), Twitter Issue Tracking System by Topic Modeling Techniques. Journal of Intelligence and Information Systems, 20(2), 109-122.   과학기술학회마을   DOI
4 Blei, D. M., Ng, A. Y., and Jordan, M. I. (2003), Latent dirichlet allocation, Journal of Machine Learning Research, 3, 993-1022.
5 Chang, Y. S., Kim, J. C., Choi, W. G., and Kim, K. O. (2009), Study on the Development of Open Interfaced Geospatial Information Service Platform, Journal of Korea Spatial Information Society, 11(1), 17-24.   과학기술학회마을
6 Cho, G. H., Lim, S. Y., and Hur, S. (2014), An Analysis of the Research Methodologies and Techniques in the Industrial Engineering Using Text Mining, Journal of the Korean Institute of Industrial Engineers, 40(1), 52-59.   과학기술학회마을   DOI   ScienceOn
7 Cho, S. G. and Kim, S. B. (2012), Finding Meaningful Pattern of Key Words in IIE Transactions Using Text Mining. Journal of the Korean Institute of Industrial Engineers, 38(1), 67-73.   과학기술학회마을   DOI   ScienceOn
8 Choi, W. W., Hong, S. K., Shin, D. B., and Ahn, J. W. (2012), Concept of Spatial Information Social Platform and Role of Government as a Platformer, Journal of Korea Spatial Information Society, 20(4), 37-45.   과학기술학회마을   DOI
9 Goldberg, D., Olivares, M., Li, Z., and Klein, A. G. (2014), Maps and GIS Data Libraries in the Era of Big Data and Cloud Computing, Journal of Map and Geography Libraries, 10(1), 100-122.   DOI
10 Guo, Z., Zhang, Z., Zhu, S., Chi, Y., and Gong, Y. (2014), A Two-Level Topic Model Towards Knowledge Discovery from Citation Networks, Knowledge and Data Engineering, IEEE Transactions on KDa, 26(4), 780-794.   DOI
11 Hornik, K. and Grun, B. (2011), topicmodels: An R package for fitting topic models, Journal of Statistical Software, 40(13), 1-30.
12 Jeong, D. H. and Song, M. (2014), Time gap analysis by the topic model-based temporal technique, Journal of Informetrics, 8(3), 776-790.   DOI
13 Jian-ya, G. O. N. G. (2002), The Development Trends of the Contemporary GIS[J], Northeast Surveying and Mapping, 4(3).
14 Kearney, M. and Porter, W. (2009), Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges, Ecology Letters, 12(4), 334-350.   DOI
15 Kim, H. S. (2014), Policy Implication for implementing and utilizing Spatial Big data system, Planning and Policy, 389, 6-11.
16 Kim, J. O., Huh, Y., Lee, W. H., and Yu, K. Y. (2009), Matching Method of Digital Map and POI for Geospatial Web Platform, Journal of the Korean Society for Geospatial Information System, 17(4), 23-29.   과학기술학회마을
17 Kim, J. J., Han, S. G., Shin, I. S., and Han, K. J. (2013), Spatial HBase: An Extension of HBase for Spatial Big Data, Korea Information Science Society. Database, 40(5), 295-304.   과학기술학회마을
18 Kim, M. S. (2014), Domestic and Overseas Policy on Spatial Big data and Technology Trend, Planning and Policy, 389, 30-39.
19 Lee, S. H. (2013), The Roles and Challenges of National Geospatial Data Infrastructure for Data Sharing and Openness in Big Data Era, The Magazine of the Korean Society of Civil Engineers, 61(10), 37-42.
20 Kim, S. W., Kim, G. G., and Yoon, B. K. (2014), A Study on a Way to Utilize Big Data Analytics in the Defense Area, Journal of the Korean Operations Research and Management Science Society, 39(2), 1-20.   과학기술학회마을   DOI
21 Masumura, R., Oba, T., Masataki, H., Yoshioka, O., and Takahashi, S. (2014), Role play dialogue topic model for language model adaptation in multi-party conversation speech recognition, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 4873-4877.
22 Messner, S. F., Anselin, L., Baller, R. D., Hawkins, D. F., Deane, G., and Tolnay, S. E. (1999), The spatial patterning of county homicide rates: An application of exploratory spatial data analysis, Journal of Quantitative Criminology, 15(4), 423-450.   DOI
23 Schmidt, K. M., Menakis, J. P., Hardy, C. C., Hann, W. J., and Bunnell, D. L. (2002), Development of coarse-scale spatial data for wildland fire and fuel management, USDA Forest Service General Technical Report RMRS-GTR-62, USA.
24 Van Westen, C. J., Castellanos, E., and Kuriakose, S. L. (2008), Spatial data for landslide susceptibility, hazard, and vulnerability assessment: an overview, Engineering Geology, 102(3), 112-131.   DOI
25 Wang, J. and Wang, X. (2011), An ontology-based traffic accident risk mapping framework, In Advances in Spatial and Temporal Databases, Springer Berlin Heidelberg, 21-38.
26 Wasserman, S. (1994), Social network analysis : Methods and applications, Cambridge University Press, UK, 8.
27 Yoon, M. Y. (2013), Analysis on Big Data Policy of Major country and Implication, Science and Technology Policy, 23(3), 31-43.
28 Wu, Q., Zhang, C., Hong, Q., and Chen, L. (2014), Topic evolution based on LDA and HMM and its application in stem cell research. Journal of Information Science, 0165551514540565.
29 Yavuz, H. and Erdogan, S. (2012), Spatial analysis of monthly and annual precipitation trends in Turkey, Water Resources Management, 26(3), 609-621.   DOI
30 Yang, H. Y. (2012), Technology planning methodology using Big data, KISTEP Issue Paper, Seoul, Korea.
31 Zhang, J. (2014). Trends in geo-information fusion for the next 5 years, International Journal of Image and Data Fusion, 5(1), 1-1.   DOI