Fig. 1. Research procedure.
Fig. 2. SOM method.
Fig. 3. Data collection: MSDS data list published by OSHA.
Fig. 4. Result of document-term matrix.
Fig. 5. MSDS map Clustering results.
Fig. 6. Prohibited(top) and permitted hazardous(bottom) substances.
Table 1. Summary of hazardous and chemical materials in MSDS map
References
- J. Yang, C. Lim and S. Park, "A Study on the Priority for the Hazard and Risk Evalution of Chemicals(HREC) according to the Industrial Safety and Health Act(ISHA)", Journal of Korean Society of Occupational and Environmental Hygiene, Vol. 22, No. 1, pp. 73-81, 2012.
- J. Park, S. Ham, S. Kim, K. Lee, K. Ha, D. Park and C. Yoon, "Study on the Chemical Management - 1. Chemical Characteristics and Occupational Exposure Limits under Occupational Safety and Health Act of Korea", Journal of Korean Society of Occupational and Environmental Hygiene, Vol. 25, No. 1, pp. 45-57, 2015. https://doi.org/10.15269/JKSOEH.2015.25.1.45
- B. Song, S. Choi, Y. Kang, G. Lyu, Y. Jo, H. Im, J. Kwon and K. Park, "Safety Management System for Emergency Handling of Environmental Toxic Gas Release", Korean Journal of Hazardous Materials, Vol. 2, No. 2, pp. 27-31, 2014.
- Ministry of Environment, Chemistry Safety Clearinghouse, https://csc.me.go.kr/
- C. Yoon, S. Ham, J. Park, S. Kim, S. Lee, K. Lee and D. Park, "Comparison between the Chemical Management Contents of Laws Pertaining to the Ministry of Environment and the Ministry of the Employment and Labor", Journal of Environmental Health Sciences, Vol. 40, No. 5, pp. 331-345, 2014.
- Y. Suh, "Data Analytics for Social Risk Forecasting and Assessment of New Technology", J. Korean Soc. Saf., Vol. 32, No. 3, pp. 83-89, 2017. https://doi.org/10.14346/JKOSOS.2017.32.3.83
- S. Kang and Y. Suh, "On the Development of Risk Factor Map for Accident Analysis using Textmining and Self-Organizing Map(SOM) Algorithms", J. Korean Soc. Saf., Vol.33, No. 6, pp. 77-84, 2018. https://doi.org/10.14346/JKOSOS.2018.33.6.77
- R. Moura, M. Beer, E. Patelli and J. Lewis, "Learning from Major Accidents: Graphical Representation and Analysis of Multi-attribute Events to Enhance Risk Communication", Safety Science, Vol. 99, pp. 58-70, 2017. https://doi.org/10.1016/j.ssci.2017.03.005
- T. Kohonen, "The Self-Organizing Map", Neurocomputing, Vol. 21, No. 1-3, pp. 1-6, 1998. https://doi.org/10.1016/S0925-2312(98)00030-7
- T. Kohonen, "Self-Organization and Associative Memory", Springer-Verlag, Berlin, Heidelberg, 2012.
- T. Kohonen, "Essentials of the Self-Organizing Map", Neural Networks, Vol. 37, pp. 52-65, 2013. https://doi.org/10.1016/j.neunet.2012.09.018
- J. Vesanto and E. Allhoniemi, "Clustering of the Self-Organizing Map", IEEE Transactions on Neural Network, Vol. 11, No. 3, pp. 586-600, 2000. https://doi.org/10.1109/72.846731
- F. Palamara, F. Piglione and N. Piccinini, "Self-Organizing Map and Clustering Algorithms for the Analysis of Occupational Accident Database", Safety Science, Vol. 49, pp. 1215-1230, 2011. https://doi.org/10.1016/j.ssci.2011.04.003