• Journal of the Korean Society for information Management
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• v.23 no.3 s.61
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• pp.147-165
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• 2006

In this study, experiments for selection of association terms were conducted in order to discover the optimum method in selecting additional terms that are related to an initial query term. Association term sets were generated by using support, confidence, and lift measures of the Apriori algorithm, and also by using the similarity measures such as GSS, Jaccard coefficient, cosine coefficient, and Sokal & Sneath 5, and mutual information. In performance evaluation of term selection methods, precision of association terms as well as the overlap ratio of association terms and relevant documents' indexing terms were used. It was found that Apriori algorithm and GSS achieved the highest level of performances.

• Proceedings of the Korean Society for Information Management Conference
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• 1998.08a
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• pp.243-246
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• 1998

텍스트 자동분석을 통해 얻어진 통계적인 용어연관성은 정보검색 및 언어 처리와 관련된 여러 분야에서 폭넓게 이용되고 있다. 용어연관성을 구하기 위한 연관계수는 여러 가지가 있지만 적용분야에 관계없이 유사계수 공식이나 상호정보량 공식이 주류를 차지하고 있다. 이런 공식들은 그 통계적 특성이 서로 다르기 때문에 알맞은 적용분야를 파악할 필요가 있다. 이 연구에서는 필요 연관계수 공식의 특성을 이론적으로 파악하였고, 실험으로 검증하기 위하여 240만 어절 분량의 실험용 한국어 신문기사 데이터베이스를 구축하였다.

• Proceedings of the Korean Society for Information Management Conference
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• 1999.08a
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• pp.25-28
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• 1999

자동분류나 정보검색에 주로 이용되는 문헌 클러스터링에서는 문헌간의 유사성을 측정하기 위해 다양한 유사계수를 이용하는데, 모든 유사계수가 동일한 클러스터링 결과를 가져오는 것은 아니다. 본고에서는 50건의 신문기사를 대상으로 SPSS 통계 패키지를 이용하여 다양한 유사계수에 각각 달라지는 문헌 클러스터링의 결과를 살펴본 후, 유사계수간의 연관성을 측정하였다.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.147-155
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• 2013

The purpose of this study is to analyze how much performance industry contribute to national economy by measuring economic effects of performance industry. To achieve the purpose of the study, the study uses an performance industry(theater, music and other arts, 390 sectors) Input-Output Table of yaer 2009 of korea bank. The results shows that performance industry induce 391.6 trillion won in the national production, 65.1 trillion won in the income inducement, 16.3 trillion won in the tax inducement. Especially the performance industry shows that production inducement coefficient is 1,387, Index of the power of dispersion is 0.020, index of the sensitivity of dispersion is 0.025, value-added inducement coefficient is 0.662, income inducement coefficient is 0.455, tax inducement coefficient is 0.046 and employment inducement coefficient is 0.010.

• Journal of the Economic Geographical Society of Korea
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• v.21 no.2
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• pp.77-89
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• 2018

The purpose of this paper is to analyze the industrial linkage between manufacturing and service industries in Seoul and Busan. In this paper, the industrial linkage between the manufacturing and the service industry is analyzed through input-output coefficient and production inducement coefficient. The results are as follows. First, the linkage of the service industry to the manufacturing in Seoul was higher than that of Busan. Second, Busan had a low input proportion of the service industry supplied by its own area to the manufacturing, so that the effect of the growth of Busan manufacturing on the regional economy is limited. Third, the linkage of manufacturing to service industry in Busan was found to be higher than that of Seoul. Finally, policy directions for improving the industrial linkage between manufacturing and service industries were suggested based on the results.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.273-274
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• 2011

관광산업의 산업연관분석은 최근의 서비스산업에 대한 정책적 관심이 증가하고 있는 상황에서 경제적 효과를 측정하는 수단으로 유용성이 높다. 2008년 산업연관표를 통하여 투입계수, 중간투입물과 부가가치율, 생산유발계수, 영향력계수와 감응도계수, 취업계수와 취업유발계수를 도출한다.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.945-956
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• 2013

The character industry is a high value-added industry, and is one of the strategic industries to be fostered. However, the character industry is struggling due to the lack of national consensus on the importance and value of the character industry. Therefore, in order to resolve this issue, the study used the character Input-Output Table of year 2009 of korea to analyze how much the character industry(Toys and games, Models and decorations) contributes to the national economy by measuring economic spreading effects of character industry on national economy. The results shows that character industry shows that production inducement coefficient is column 1.602, row 1.007, index of the sensitivity of dispersion is 0.543, Index of the power of dispersion is 0.864, value-added coefficient is 0.620, income inducement coefficient is 0.334, tax inducement coefficient is 0.066, employment inducement coefficient is 0.008.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.139-142
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• 2007

본 연구는 RAS 계수법과 동태적 산업연관 모형을 동시에 적용하여 u-City 구축의 경제적 파급효과를 분석하였다는 점에서 통상적인 산업연관분석과 차별성을 지닌다. 한국은행이 가장 최근 발표한 산업연관표는 2000년도 자료이다. 본 연구는 RAS 계수법으로 알려져 있는 예측기법을 이용하여 2000년 산업연관표를 2010년 표로 연장시켜 u-City 산업의 경제적 파급효과를 분석한다. 한편 산업연관분석에 통상적으로 사용되고 있는 모형은 정태적 분석모형인 기본 산업연관 모형이지만, 본 연구에서는 동태적 산업연관 모형을 적용하여 u-City 산업의 경제적 파급효과를 동태적으로 분석하였다. u-City 구축에 따른 총 생산파급효과는 약 3.3배로 추정되었으며, u-City 산업은 전방연쇄효과는 매우 높지만 후방연쇄효과는 그다지 높지 않은 것으로 나타났다.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.358-368
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• 2016

The kimchi industry is a high value-added industry, boosts the self-esteem of the people as a measure of a country's culture industry, and is one of the strategic industries to be fostered. However, the kimchi industry is struggling due to the lack of national consensus on the importance and value of the kimchi industry. Therefore, the purpose of this study was to analyze how much the kimchi industry contributes to the national economy by measuring economic effects of the kimchi industry on national economy. To achieve this purpose, the study used the kimchi industry Input-Output Table of year 2013 of korea. The results shows that kimchi industry induce 510,013 billion won of national production, especially the retail trade distribution industry shows that production inducement coefficient is 1.8418(row), 1.1760(column), Index of the power of dispersion is 0.9611, index of the sensitivity of dispersion is 0.6136, income inducement coefficient is 0.1820, tax inducement coefficient is 0.0084 and employment inducement coefficient is 0.003. With the help of information technology.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.884-892
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• 2011

The analysis of the tourist industry in relation to the general industries is of high use as a means to measure an economic effectiveness as the interest in the policy of service industry increases. From the Input-Output Tables of both 2007 and 2008, Inverse Matrix Coefficients, Imports Requirement Coefficients, and Value Added Requirement Coefficients have been derived. As a result of analysis, the main indexes of the industry-related analysis have almost no differences as compared with those of the 1980s. In spite of the reduction in the scope of the tourist industry in this paper, it is estimated that the reason why the above-mentioned result has been derived is that the influence of today's tourist industry grows bigger than that of the past. In the future studies, the agreement on the classification of tourist industry is requested. In addition, all kinds of calculations have to be derived in general, and the general parts of the tourist industry have to be analyzed in details.