• Journal of Korean Library and Information Science Society
• /
• v.40 no.4
• /
• pp.81-92
• /
• 2009

I studied in this paper on the comparative study between the constructivism and the structuralism as the educational methods. On the constructivism in educational methods they say that knowledge is constructed subjectively by person individually(cognitive constructivism) or by persons reciprocally in the society(social constructivism). On the structuralism in educational methods they say that knowledge(structure) is in the closed-end text objectively and person pursue and identify this objective knowledge in the closed-end text. But on the post-structuralism(neostructuralism) they say that the text is not closed-ended but open-ended. So constructivism is consistent with post-structuralism. Education include application of knowledge and awareness of knowledge on my opinion. Education on application of knowledge is more important in this knowledge based society. Constructivism connote the application of knowledge in the education. School library media center and media specialist(teather-librarian) are essential elements of this application of knowledge in the education.

• Journal of Korean Classical Literature and Education
• /
• no.16
• /
• pp.91-116
• /
• 2008

This Study aims to research how we read Korean classical narrative in the digital era and the culture digital made. The meaning of reading Korean classical narrative in digital culture can be divided in four category; first, reading the old narrative text that made and enjoyed a long time ago in digital era, second, reading the old narrative text that made in the old times not as th book but by the media environment that the digital technology made up, third, reading the extended and modified media text by the digital technology from the original old narrative text, fourth, reading the text by the digital technology seeking for the original narrative text as archetype. And it is inspected that the characteristic of the digital era and how to read the four type of Korean classical narrative through the example. So we can consider about the characteristic of enjoying Korean classical narrative and method of reading the diversified Korean classical narrative by the digital. Finally, it is conclusion that we must think over the original text of Korean classical narrative and adhere classicality. And we learned we should research more abundant Korean classical narrative text.

• Information Systems Review
• /
• v.21 no.2
• /
• pp.117-137
• /
• 2019

In the Big Data era, data science has become popular with the production of numerous data in various domains, and the power of data has become a competitive power. There is a growing interest in unstructured data, which accounts for more than 80% of the world's data. Along with the everyday use of social media, most of the unstructured data is in the form of text data and plays an important role in various areas such as marketing, finance, and distribution. However, text mining using social media is difficult to access and difficult to use compared to data mining using numerical data. Thus, this study aims to develop Korean Natural Language Application (KoALA) as an integrated application for easy and handy social media text mining without relying on programming language or high-level hardware or solution. KoALA is a specialized application for social media text mining. It is an integrated application that can analyze both Korean and English. KoALA handles the entire process from data collection to preprocessing, analysis and visualization. This paper describes the process of designing, implementing, and applying KoALA applications using the design science methodology. Lastly, we will discuss practical use of KoALA through a block-chain business case. Through this paper, we hope to popularize social media text mining and utilize it for practical and academic use in various domains.

• The KIPS Transactions:PartB
• /
• v.11B no.1
• /
• pp.91-98
• /
• 2004

This paper proposes how to support various media on online conversational activity using XML(extensible Markup Language). The method converts media information into XML based messages and handles alike conventional text based messages. The XML based messages are unified to an XML document, and then a HTML document is generated using the XML and an XSLT documents in a server. A user in each client can play or present media through the hyperlink that is associated media information on the HTML document. The suggested method supports use of various media (text, image, audio, video, documents, etc) and efficient maintenance of font size, color, and style on messages according to extension and modification of XML tags. For application, this paper implemented the system to support media that has client and server architecture on online conversational activity. A user in each client inputs text or media based message using JAVA applet and servlet on the system, and conversational messages on every users' interfaces are automatically updated whenever a user inputs new message. Media on conversational messages are played or presented according to a user's click on hyperlink. Applications for the media presentation are as follows : distance learning, online game, collaboration, etc.

• Proceedings of the Korea Contents Association Conference
• /
• 2014.06a
• /
• pp.453-454
• /
• 2014

• Journal of Korea Entertainment Industry Association
• /
• v.15 no.7
• /
• pp.137-143
• /
• 2021

This discussion can be said to be a qualitative study on the possibility of linking communication education for college students and literacy education for Korean language-linked educators based on the theory of interpretation of cognitive meaning of media text containing complex mechanisms. The implicit meaning of media content expression used as an interactive communication strategy will be accepted as a multilateral interpretation according to the individual learner's cognitive environment. If so, how is the general media content meaning intended by the content creator being accepted? These doubts are the starting point for discussion. To solve the problem, I leaned on the experimental pragmatic methodology of cognitive aesthetics and applied a model of relevance of cognitive linguistics to connect learners' creative cognitive environment and present content to find a contrast. As a result of the discussion, it was possible to establish a basic framework for learners to express their subjectivity and creative thinking that could connect the cognitive environment and present content themselves. In particular, active and positive learners also revealed direct descriptive expressions to build a new cognitive environment, such as suggesting a third alternative to argue the ability to question produced media texts and the validity of the meaning implied in the text. In the future, since media text containing complex mechanisms is an indirect and persuasive communication behavior that occurs easily through various media in modern society, the universal communication principle of reliable conversation between media text creators and audiences should exist.

• Cartoon and Animation Studies
• /
• s.27
• /
• pp.177-198
• /
• 2012

Development of digital media and interest in education bring big progress at digital device of education globally. UK which is advanced country of education is using digital education devices such as digital chalkboards, digital desks etc. and Japan plan digital text book's through the state. At 2011, Korea which is advanced country of internet adopted digital text book 2007 with mathematics, through science and English digital text book through the state. Korea's digital textbook is in a transition period, that needs case-study of advanced country of education for setting design guide and educational effect to Digital text book plan. All researches are based on LG europe design center at London, UK and target countries are UK and Sweden which is advanced country of education and a welfare state. Analysis by using FGI, KJ, survey of questionnaire, heuristic method, concentration observation. Through analytical researches prefer using digital text book with paper text book to using solo that can offer each advantage to user and teacher. Especially Interactive GUI design of digital text book to easy to access for teacher whom not friendly with digital device. When plan Digital text book content and design needs methodical design guide for target who students and teachers an in-depth study of the appraisal and method. The results of the research are introduce the design plan as a basic research and giving useful design plan to make digital text book and digital educational media in industrial aspect.

• Broadcasting and Media Magazine
• /
• v.2 no.4
• /
• pp.17-21
• /
• 1997

• Korean Journal of Cognitive Science
• /
• v.22 no.3
• /
• pp.299-326
• /
• 2011

The text such as stories, blogs, chat, message and reviews have the overall emotional flow. It can be classified to the text having similar emotional flow if we compare the similarity between texts, and it can be used such as recommendations and opinion collection. In this paper, we extract emotion terms from the text sequentially and analysis emotion terms in the pleasantness-unpleasantness and activation dimension in order to identify the emotional flow of the text. To analyze the 'dominant emotion' which is the overall emotional flow in the text, we add the time dimension as sequential flow of the text, and analyze the emotional flow in three dimensional space: pleasantness-unpleasantness, activation and time. Also, we suggested that a classification method to compute similarity of the emotional flow in the text using the Euclidean distance in three dimensional space. With the proposed method, we analyze the dominant emotion in korean modern short stories and classify them to similar dominant emotion.

• KIPS Transactions on Software and Data Engineering
• /
• v.9 no.8
• /
• pp.251-258
• /
• 2020

A training dataset for text summarization consists of pairs of a document and its summary. As conventional approaches to building text summarization dataset are human labor intensive, it is not easy to construct large datasets for text summarization. A collection of news articles is one of the most popular resources for text summarization because it is easily accessible, large-scale and high-quality text. From social media news services, we can collect not only headlines and subheads of news articles but also summary descriptions that human editors write about the news articles. Approximately 425,000 pairs of news articles and their summaries are collected from social media. We implemented an automatic extractive summarizer and trained it on the dataset. The performance of the summarizer is compared with unsupervised models. The summarizer achieved better results than unsupervised models in terms of ROUGE score.