농촌계획 (Journal of Korean Society of Rural Planning)

  • 제23권2호
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  • Pages.29-42
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  • 2017
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  • 1225-8857(pISSN)
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  • 2288-9493(eISSN)
한국농촌계획학회 (Korean Society of Rural Planning)
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UN 지속가능개발목표(SDGs)의 관점에서 벡터공간모델을 통해 정량적으로 분석한 한국농촌계획학회의 연구동향, 1995-2016

UN's Sustainable Development Goals (SDGs) Oriented Research Trend in Publications of Korean Society of Rural Planning, 1995-2016: quantitatively analyzed with the Vector Space Model

  • 이제명 (교토대학교 지역환경과학전공)
  • Lee, Jemyung (Division of Environmental Science and Technology, Kyoto University)
  • 투고 : 2017.03.28
  • 심사 : 2017.05.26
  • 발행 : 2017.05.31
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초록

Sustainable development is no longer an option, but a requirement. Under this awareness, UN adopted 17 goals for a new sustainable development agenda on September 2015, named 'Sustainable Development Goals(SDGs)'. The Korean Society of Rural Planning(KSRP) is established on July 1994 for the sustainable development of rural areas. On the purpose to quantitatively analyze the research trend of KSRP's publications with the viewpoint of SDGs, the qualitative documents of 17 SDGs and 771 publications were mathematically transformed into vectors and the similarity was numerically measured with the 'Vector Space Model(VSM)'. The results show that 'Sustainable cities and communities(SDG 11)', 'Zero hunger(SDG 2)', 'Life on land(SDG 15)' and 'Responsible consumption and production(SDG 12)' have strong relationships with KSRP, while those of 'Affordable and clean energy(SDG 7)', 'Peace, justice and strong institution(SDG 16)' and 'Gender equality(SDG 5)' are weak. It is also found that the relationships of KSRP publications with 'energy' and 'climate change' issues(SDG 7, 13) were greatly increased during the period of 1995-2016, in spite of their weak relationships.

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참고문헌

  1. Baldridge, J., 2005, The opennlp project. URL:http://opennlp.apache.org/index.html.
  2. Bates, M.J., 2012, Understanding Information Retrieval Systems, Taylor & Francis Group, Boca Raton:USA.
  3. Chae, C., Kim, J. and Han, S.J., 2017, ResearchTrends in the Field of Human Resource Developmentusing a Keyword Network Analysis of thePeer-reviewed Research Articles Published in the FourMajor AHRD Journals (in Korean: 인적자원개발 연구동향(2006-2015): AHRD 학술지 논문의 주제어연결망 분석), The Korean Journal of HumanResource Development Quarterly, 19(1), pp.99-127.
  4. Dhillon, I.S., Fan, J. and Guan, Y., 2001, Efficient Clustering of Very Large Document Collections, Data Mining for Scientific and Engineering Applications, Ch.1, pp.357-381.
  5. Ekbal, A., Saha S. and Choudhary G., 2012, Plagiarism detection in text using Vector Space Model, 2012 12th International Conference on Hybrid Intelligent Systems (HIS), Pune, pp.366-371.
  6. Erk, K. and Pado, S., 2008, A Structured Vector Space Model for Word Meaning in Context, Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, pp.897-906.
  7. Griggs, D., Smith, S.M., Rockström, J., Ohman, M.C., Gaffney, O., Glaser, G., Kanie, N., Noble, I., Steffen, W. and Shyamsundar, P., 2014, An integrated framework for sustainable development goals, Ecology and Society, 19(4) p.49.
  8. Ha, S.Y., 2012, A Review of Leadership in Social Welfare Organization, Social Science Research Review, 28(2), pp.201-223.
  9. Ji, H.S., Joh, J.H. and Lim, 2010, A Detection Method of Similar Sentences Considering Plagiarism Patterns of Korean Sentence, The Journal of Korean Association of Computer Education, 13(6), pp.79-89.
  10. Jones, S.K., 1972, A Statistical Interpretation of Term Specificity and Its Application in Retrieval, Journal of Documentation, 28, pp.11-21. https://doi.org/10.1108/eb026526
  11. Jyung, M., 2007, Content Analysis of Tourism Research on Tourism Information, Journal of Tourism Studies, 19(1), pp.117-140.
  12. Kang, S.S., 1993, Korean morphological analysis using syllable information and multi-word unit information (Ph.D thesis), Seoul National University.
  13. Kim ,Y., Shin, S. and Song, H.D., 2017, ExploringHuman Performance Technology Research Trend withNetwork Text Analysis (in Korean: 네트워크 텍스트분석(network text analysis)을 통한 국내 수행공학의연구동향 탐색), The Korean Journal of HumanResource Development Quarterly, 19(1), pp.35-64.
  14. Kim C., Yang S., Lee G. and Yong-Suk Hwang, Y.S, 2005, The current state and future of political communication research in Korea: A content analysis of the research articles during the period from 1960 to 2004, Communication Theories, 1(1), pp.126-162.
  15. Kim, J.H. and Ko, D.W., 2016, Research Trends on Social Capital in the Tourism Field from the Perspective of Text Network Analysis: Focusing on Domestic Journals, Journal of Tourism Science, 40(8), pp.157-173. https://doi.org/10.17086/JTS.2016.40.8.157.173
  16. Kim, S., Suh, K. and Kim, T., 2016, Trend Analysis of Published Research Papers in the Field of Rural Planning in Korean Society of Rural Planning using Bibliometrics Methods (1995-2014), Journal of the Korean Society of Rural Planning, 22(1), pp.1-11. https://doi.org/10.7851/ksrp.2016.22.1.001
  17. Korea Society of Rural Planning(KSRP), 2017, Introduction of the Society: Purpose of establishment, http://www.ksrp.or.kr/page_Dvad23.
  18. Landauer, T.K., Foltz, P.W. and Laham, D., 1998, Introduction to Latent Semantic Analysis, Discourse Processes, 25, pp.259-284. https://doi.org/10.1080/01638539809545028
  19. Nilsson, M. and Costanza, R., 2015, Overall Framework for the Sustainable Development Goals, ICSU/ISSC 2015 Review of the Sustainable Development Goals: The Science Perspective; International Council for Science: Paris, p.7-13.
  20. Nunes, A.R., Lee, K. and O'riordan, T., 2016, The importance of an integrating framework for achieving the Sustainable Development Goals: the example of health and well-being, BMJ Global Health 2016, 1(3), e000068, DOI: 10.1136/bmjgh-2016-000068.
  21. Ravindran, R.M. and Thanamani, A.S., 2015, K-Means Document Clustering using Vector Space Model, Bonfring International Journal of Data Mining, 5(2), pp.10-14. https://doi.org/10.9756/BIJDM.8076
  22. Ray, S. and Chandra, N., 2012, A Technique for Proper Feature Selection with Automated Text Categorization in the Vector Space Model, International Journal of Emerging Technology and Advanced Engineering, 2(3) pp.243-246.
  23. Salton, G. and Buckley, C., 1988, Term-weighting approaches in automatic text retrieval, Information Processing & Management, 4(5), pp.513-523.
  24. Salton, G., Wong, A. and Yang, C.S., 1975, A Vector Space Model for Automatic Indexing, Communications of the ACM, 18(11), pp.613-620. https://doi.org/10.1145/361219.361220
  25. Turney, P.D. and Pantel, P., 2010, From Frequency to Meaning: Vector Space Models of Semantics, Journal of Artificial Intelligence Research, 37, pp.141-188. https://doi.org/10.1613/jair.2934
  26. UN, 2016a, The Sustainable Development Goals Report, UN: New York, pp.12-47
  27. UN, 2016b, Report of the Inter-Agency and Expert Group on Sustainable Development Goal Indicators, Economic and Social Council of United Nations, pp.15-62
  28. UN, 2016c, Statistical Commission: Report on the forty-seventh session, Economic and Social Council of United Nations: New York, pp.9-36.
  29. United Nations (UN), 2015, Paris Agreement, UN.
  30. UN, 2017, http://www.un.org/sustainabledevelopment/news/communications-material/