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The Big Data Analytics Regarding the Cadastral Resurvey News Articles
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 Title & Authors
The Big Data Analytics Regarding the Cadastral Resurvey News Articles
Joo, Yong-Jin; Kim, Duck-Ho;
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 Abstract
With the popularization of big data environment, big data have been highlighted as a key information strategy to establish national spatial data infrastructure for a scientific land policy and the extension of the creative economy. Especially interesting from our point of view is the cadastral information is a core national information source that forms the basis of spatial information that leads to people`s daily life including the production and consumption of information related to real estate. The purpose of our paper is to suggest the scheme of big data analytics with respect to the articles of cadastral resurvey project in order to approach cadastral information in terms of spatial data integration. As specific research method, the TM (Text Mining) package from R was used to read various formats of news reports as texts, and nouns were extracted by using the KoNLP package. That is, we searched the main keywords regarding cadastral resurvey, performing extraction of compound noun and data mining analysis. And visualization of the results was presented. In addition, new reports related to cadastral resurvey between 2012 and 2014 were searched in newspapers, and nouns were extracted from the searched data for the data mining analysis of cadastral information. Furthermore, the approval rating, reliability, and improvement of rules were presented through correlation analyses among the extracted compound nouns. As a result of the correlation analysis among the most frequently used ones of the extracted nouns, five groups of data consisting of 133 keywords were generated. The most frequently appeared words were "cadastral resurvey," "civil complaint," "dispute," "cadastral survey," "lawsuit," "settlement," "mediation," "discrepant land," and "parcel." In Conclusions, the cadastral resurvey performed in some local governments has been proceeding smoothly as positive results. On the other hands, disputes from owner of land have been provoking a stream of complaints from parcel surveying for the cadastral resurvey. Through such keyword analysis, various public opinion and the types of civil complaints related to the cadastral resurvey project can be identified to prevent them through pre-emptive responses for direct call centre on the cadastral surveying, Electronic civil service and customer counseling, and high quality services about cadastral information can be provided. This study, therefore, provides a stepping stones for developing an account of big data analytics which is able to comprehensively examine and visualize a variety of news report and opinions in cadastral resurvey project promotion. Henceforth, this will contribute to establish the foundation for a framework of the information utilization, enabling scientific decision making with speediness and correctness.
 Keywords
Big Data;Text Mining;Association Rules;Cadastral Information;Cadastral Resurvey Project;
 Language
English
 Cited by
 References
1.
Bae, D., Park, H., and Oh, G. (2013), Current trends and policy implications of gig data, Journal of International Telecommunications Policy Review, Vol. 25, No. 10, pp. 37-74. (in Korean with English abstract)

2.
Crampton, J., Graham, M., and Zook, M. (2013), Beyond the geotag: situating 'Big Data' and leveraging the potential of the Geoweb, Cartography and Geographic Information Science, Vol. 40, No. 2, pp. 130-139. crossref(new window)

3.
Joo, K., Shin E., and Lee, W. (2011), Hierarchical automatic classification of news articles based on association rules, Journal of the Korean Multimedia Society, Vol. 14, No. 6, pp. 730-741. (in Korean with English abstract) crossref(new window)

4.
James, M., Michael, C., Brad, B., Jacques, B., Richard, D., Charles, R., and Angela, H. (2011), Big Data: The Next Frontier for Innovation, Competition, and Productivity, Report 2011, McKinsey Global Institute, United States.

5.
Kim, B. (2013), A study on the utilization of real estate price announcement data based on government 3.0, Journal of the Korean Society of Cadastre, Vol. 29, No. 2, pp. 209-223. (in Korean with English abstract)

6.
Kim, M., Kim, D., and Lee, Y. (2013), Spatial Big Data Utilization for the National Land Policy, 2013-01, Korea Research Institute for Human Settlements, Anyang, Korea, pp. 13-14.

7.
Lee, T. (2011), Survey Result's Data Set Establishment Base on Cadastral Information, Ph.D. dissertation, Myongji University, Seoul, Korea, 139p. (in Korean with English abstract)

8.
Lim, H. (2013), Chungnam Policy Propagation Analysis Using Big Data, 2013-00, Chungnam Development Institute, Gongju, Korea, 31p. (in Korean)

9.
Oh, S. (2012), A Study on the Practical Applications of Text Mining, Master's thesis, Korea University, Seoul, Korea, 40p. (in Korean)

10.
Song, M. (2012), Creation of the Business Future Map is Big Data, Hans Media, Seoul, Korea.

11.
Seo, M. (2013), R for Practical Data Analysis, R-Project, Albacete, Spain, http://r4pda.co.kr/ (last date accessed: 25 July 2014).

12.
Yoo, K. and Yu, C. (2013), A study on the application method of cadastral information big data, Journal of the Korean Association of Cadastre Information, Vol. 15, No. 2, pp. 31-51. (in Korean with English abstract)