• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.499-503
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• 2024

Broadcasting programs are provided to various media such as Internet replay, OTT, and IPTV services as well as self-broadcasting. In this case, it is very important to provide keywords for search that represent the characteristics of the content well. Broadcasters mainly use the method of manually entering key keywords in the production process and the archive process. This method is insufficient in terms of quantity to secure core metadata, and also reveals limitations in recommending and using content in other media services. This study supports securing a large number of metadata by utilizing closed caption data pre-archived through the DTV closed captioning server developed in EBS. First, core metadata was automatically extracted by applying Google's natural language AI technology. The next step is to propose a method of finding core metadata by reflecting priorities and content characteristics as core research contents. As a technology to obtain differentiated metadata weights, the importance was classified by applying the TF-IDF calculation method. Successful weight data were obtained as a result of the experiment. The string metadata obtained by this study, when combined with future string similarity measurement studies, becomes the basis for securing sophisticated content recommendation metadata from content services provided to other media.

• 대한공업교육학회지
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• v.37 no.1
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• pp.183-204
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• 2012

This study was to analysis perception about Teaching & Learning Support System of the school of Rural Areas in Korea. In order to accomplish the study purpose, the study conducted a research through Web Survey method and examined their recognition. Major findings of this study were as follows: First, Student was satisfied with TLSS of the school of Rural Areas in Korea. Students would like to 'using e-learning with Electronic board and Tablet PC' among program contents. But the system' utilization was low. However, 90% of the students wanted that teacher usually using the FASTEL. Second, Teacher satisfaction was lower compared to the students is relatively. Teachers prefer 'various after school program' to 'using e-learning with Electronic board and Tablet PC'. However, learning effective of using FASTEL system was a 73.8% of teachers are effective is aware and had. Third, 35% Students recognized that are using the pastel system, frequently, On the other hand, the teachers are 60% and to recognize that there was. The reason doesn't the system to good use is slow wireless. Still, e-learning classroom infrastructure for satisfaction was high. Fourth, Teachers recognized students and the pastel system interaction than other e-learning system high. FASTEL System used in the most uncomfortable things on e-learning classroom Wireless Internet phenomena and lost content lacking, in order, I was told. Therefore, there is an urgent need to improve to include Wireless Internet speed improvements and various content added support, easy-to-use instructional tools Add support order selected.