한국멀티미디어학회논문지 (Journal of Korea Multimedia Society)

  • 제20권1호
  • /
  • Pages.66-73
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  • 2017
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  • 1229-7771(pISSN)
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  • 2384-0102(eISSN)
한국멀티미디어학회 (Korea Multimedia Society)
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LSA를 이용한 정형·비정형데이터 분석과 범죄 프로파일링 시스템 구현

Analysis of Structured and Unstructured Data and Construction of Criminal Profiling System using LSA

  • Kim, Yonghoon (Dept. of Computer Engineering Pukyong National University) ;
  • Chung, Mokdong (Dept. of Computer Engineering Pukyong National University)
  • 투고 : 2016.10.10
  • 심사 : 2016.12.06
  • 발행 : 2017.01.30
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초록

Due to the recent rapid changes in society and wide spread of information devices, diverse digital information is utilized in a variety of economic and social analysis. Information related to the crime statistics by type of crime has been used as a major factor in crime. However, statistical analysis using only the structured data has the difficulty in the investigation by providing limited information to investigators and users. In this paper, structured data and unstructured data are analyzed by applying Korean Natural Language Processing (Ko-NLP) and the Latent Semantic Analysis (LSA) technique. It will provide a crime profile optimum system that can be applied to the crime profiling system or statistical analysis.

키워드

참고문헌

  1. S. Lee and H. Yoon. "The Study on Strategy of National Information for Electronic Government of S. Korea with Public Data analysed by the Application of Scenario Planning," Journal of The Korea Institute of Electronic Communication Science, Vol 7, No 6, pp. 1259-1273, 2012. https://doi.org/10.13067/JKIECS.2012.7.6.1259
  2. D. Ferrucci and A Lally, "UIMA: An Architectural Approach to Unstructured Information Processing in the Corporate Research Environment," Journal of Natural Language Engineering, Vol. 10, No. 3-4, pp. 327-348, 2004. https://doi.org/10.1017/S1351324904003523
  3. B. Jang, S. Lee and K. Kwon, "Reversible Watermarking based Video Contents Management and Control technique using Biological Organism Model," Journal of Korea Multimedia Society, Vol 16, No 7, pp. 841-851, 2013. https://doi.org/10.9717/kmms.2013.16.7.841
  4. S. Lim and C. Kim, "A Research on Conceptual Expandability and the Guidelines on Video Analysis of Moving Images from the Perspectives of Objects," Journal of Korea Multimedia Society, Vol 19, No 9, pp. 1738- 1746, 2016. https://doi.org/10.9717/kmms.2016.19.9.1738
  5. U. Kim, S. Park, J. Seo, H. Park and U. Park, Law and Institutional Improvement Maintenance Management System for Crime Statistics, Korea Institute of Criminology, pp. 13-16, 2015.
  6. Hannanum KAIST Semantic Web Research Center(2010). http://semanticweb.kaist.ac.kr/home/index.php/HanNanum (accessed Mar., 21, 2011)
  7. D. Willis, D.J. Pearce, and J. Noble, "Efficient Object Querying for Java," Proceeding of Journal of European Conference on Object- Oriented, pp. 28-49, 2006.
  8. Y. Kim and M. Chung, "Construction of Criminal Profiling System utilizing Structured and Unstructured Data," Proceeding of The 12th International Conference on Multimedia Infromation Technology and Applications, pp 38-41, 2016.
  9. T.K. Landauer, D.S. McNamara, S.D. Dennis, and W. Kintsch, Handbook of Latent Semantic Analysis, Lawrence Erlbaum, Mahwah, New Jersey, 2007.
  10. J. Huh, and K. Seo, "A Case Study of the Base Technology for the Smart Grid Security: Focusing on a Performance Improvement of the Basic Algorithm for the DDoS Attacks Detection Using CUDA," Journal of Korea Multimedia Society, Vol. 19, No. 2, pp. 411- 417, 2016. https://doi.org/10.9717/kmms.2016.19.2.411
  11. P.D. Turney and P. Pantel, "From Frequency to Meaning: Vector Space Models of Semantics," Journal of Artificial Intelligence Research, 37, pp. 141-188, 2010. https://doi.org/10.1613/jair.2934
  12. G. Saltron, A. Wong, and C.S. Yang, "Vector Space Model for Automatic Indexing," Journal of Communications of the Association for Computing Machinery, Vol. 18, No 11, pp. 613-620, 1975. https://doi.org/10.1145/361219.361220
  13. J. Huh and S. Koh, "Advanced Metering Infrastructure Design and Test Bed Experiment Using Intelligent Agents," Journal of Supercomputing, Vol. 72, No. 5, pp. 1862- 1877, 2016. https://doi.org/10.1007/s11227-016-1672-4
  14. H. Song and O. Kwon, "An Approximation Algorithm based on First-fit Strategy for Template Packing Problem," Journal of Korea Multimedia Society, Vol 19, No 2, pp. 443-450, 2016. https://doi.org/10.9717/kmms.2016.19.2.443
  15. S. Yang and M. Chung, "A Context-Aware Information Service using FCM Clustering Algorithm and Fuzzy Decision Tree," Journal of Korea Multimedia Society, Vol 16, No 7, pp. 810-819, 2013. https://doi.org/10.9717/kmms.2013.16.7.810