DOI QR코드

DOI QR Code

Topic Model Analysis of Research Trend on Spatial Big Data

공간빅데이터 연구 동향 파악을 위한 토픽모형 분석

  • Lee, Won Sang (Department of Information and Industrial Engineering, Yonsei University) ;
  • Sohn, So Young (Department of Information and Industrial Engineering, Yonsei University)
  • 이원상 (연세대학교 공과대학 정보산업공학과) ;
  • 손소영 (연세대학교 공과대학 정보산업공학과)
  • Received : 2014.09.25
  • Accepted : 2014.12.08
  • Published : 2015.02.15

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

References

  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. https://doi.org/10.12672/ksis.2013.21.5.043
  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. https://doi.org/10.13088/jiis.2014.20.2.109
  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.
  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. https://doi.org/10.7232/JKIIE.2014.40.1.052
  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. https://doi.org/10.7232/JKIIE.2012.38.1.067
  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. https://doi.org/10.12672/ksis.2012.20.4.037
  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. https://doi.org/10.1080/15420353.2014.893944
  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. https://doi.org/10.1109/TKDE.2013.56
  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. https://doi.org/10.1016/j.joi.2014.07.005
  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. https://doi.org/10.1111/j.1461-0248.2008.01277.x
  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.
  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.
  18. Kim, M. S. (2014), Domestic and Overseas Policy on Spatial Big data and Technology Trend, Planning and Policy, 389, 30-39.
  19. 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. https://doi.org/10.7737/JKORMS.2014.39.2.001
  20. 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.
  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. https://doi.org/10.1023/A:1007544208712
  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. https://doi.org/10.1016/j.enggeo.2008.03.010
  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. 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.
  28. Yavuz, H. and Erdogan, S. (2012), Spatial analysis of monthly and annual precipitation trends in Turkey, Water Resources Management, 26(3), 609-621. https://doi.org/10.1007/s11269-011-9935-6
  29. Yang, H. Y. (2012), Technology planning methodology using Big data, KISTEP Issue Paper, Seoul, Korea.
  30. Yoon, M. Y. (2013), Analysis on Big Data Policy of Major country and Implication, Science and Technology Policy, 23(3), 31-43.
  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. https://doi.org/10.1080/19479832.2013.871776