• Title/Summary/Keyword: Semantic Sharing

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Signification Education for Communication of Creative Semiotic System on Social and Cultural Value - Focused on Advertising Story - ('사회문화적 가치'에 대한 창조적 기호계(semiosphere)와 의사소통을 위한 의미 표현 교육 - 광고스토리를 중심으로 -)

  • Lim, Ji-Won
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.5
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    • pp.145-153
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    • 2019
  • The present study is a discussion in which the flow of 'social and cultural values' inherent in the creative advertising story is considered against Bart's symbolism and the creative symbol system, and attempted to reproduce the work through the cognitive thinking of the inmates. The interaction of correct social and cultural communication is not just a strategy for persuasion and effectiveness. Starting with these issues, I thought that experiencing the 'symbolic production' and 'cognition interpretation' of the most creative, aesthetic and implicit advertising stories was the realization of concrete cultural values. The reason why I pay attention to advertising as a target tool of the original school is that it gives anyone access to the social and cultural values based on the productivity of meaning, the sharing of meaning and social small-call work by paying attention to the most implicit symbols in a short period of time. I also think that with the trend of the times, it is well worth it as a tool of positive communication for social and cultural member harmony and solving future problems. The reality of social and cultural advertising stories conducted in conjunction with the analysis of meaning at the cognitive thought level is very appropriate to apply in creative classes for college students. The Dong-A Ilbo is a discussion that suggested that the work of realizing the cognitive meaning of advertising stories, a "symbol complex" based on creativity in a complex, multi-media era, will become an age-old communication tool to join university students' strategies for solving future problems

Analysis of Literatures Related to Crop Growth and Yield of Onion and Garlic Using Text-mining Approaches for Develop Productivity Prediction Models (양파·마늘 생산성 예측 모델 개발을 위한 텍스트마이닝 기법 활용 생육 및 수량 관련 문헌 분석)

  • Kim, Jin-Hee;Kim, Dae-Jun;Seo, Bo-Hun;Kim, Kwang Soo
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.23 no.4
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    • pp.374-390
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    • 2021
  • Growth and yield of field vegetable crops would be affected by climate conditions, which cause a relatively large fluctuation in crop production and consumer price over years. The yield prediction system for these crops would support decision-making on policies to manage supply and demands. The objectives of this study were to compile literatures related to onion and garlic and to perform data-mining analysis, which would shed lights on the development of crop models for these major field vegetable crops in Korea. The literatures on crop growth and yield were collected from the databases operated by Research Information Sharing Service, National Science & Technology Information Service and SCOPUS. The keywords were chosen to retrieve research outcomes related to crop growth and yield of onion and garlic. These literatures were analyzed using text mining approaches including word cloud and semantic networks. It was found that the number of publications was considerably less for the field vegetable crops compared with rice. Still, specific patterns between previous research outcomes were identified using the text mining methods. For example, climate change and remote sensing were major topics of interest for growth and yield of onion and garlic. The impact of temperature and irrigation on crop growth was also assessed in the previous studies. It was also found that yield of onion and garlic would be affected by both environment and crop management conditions including sowing time, variety, seed treatment method, irrigation interval, fertilization amount and fertilizer composition. For meteorological conditions, temperature, precipitation, solar radiation and humidity were found to be the major factors in the literatures. These indicate that crop models need to take into account both environmental and crop management practices for reliable prediction of crop yield.