• Journal of Korean Home Economics Education Association
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• v.26 no.4
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• pp.35-50
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• 2014

This study is a discussion about specific directions and strategies for development of subsequent curriculum of practical arts(technology ome economics) based on two issues ; developing curriculum which is 'connecting elementary-secondary course' and 'based on key competence'. Specific Study is as in the following. First, in the aspect of home economics, this study explored the meaning of connection between elementary-secondary courses, and in the process of curriculum development, we explored implicit problems through strategies that come out from elementary-secondary courses. Second, we search what the key competence is in terms of home economics, and the meaning of developing curriculum based on the key competence. For this, we examine the meaning of development of subject matters curriculum based on key competence and the conditions and tasks for developing curriculum for home economics based on key competence. Third, on the basis of discussion we explore the way to realize these two issues, already mentioned, into development of subsequent curriculum for home economics. For this, this study examines the academic interaction between home economics of elementary and secondary courses unifying the names of the subject, systematic understanding about development of curriculum based on key competence, finding strategies for appealing the subject, and practical instances. Through this study, we expect more active interaction between home economics from elementary and secondary courses and academic discussion for development of curriculum.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.6
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• pp.716-720
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• 2006

Fuzzy sets are good for abstracting and unifying information using natural language like terms. However, fuzzy sets embody vagueness and users may have different attitude to the vagueness, each user may choose difference one as the best among several fuzzy values. In this paper, we develop a method teaming a user's, preference on fuzzy values and select one which fits to his preference. Users' preferences are modeled with artificial neural networks. We gather learning data from users by asking to choose the best from two fuzzy values in several representative cases of comparing two fuzzy sets. In order to establish tile representative comparing cases, we enumerate more than 600 cases and cluster them into several groups. Neural networks ate trained with the users' answer and the given two fuzzy values in each case. Experiments show that the proposed method produces outputs closet to users' preference than other methods.

• The Journal of Art Theory & Practice
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• no.1
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• pp.109-144
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• 2003

Orientalness is a concept that expresses the collective identity of the Orient in relation to the West. The concept itself is mutable and defined by the relationship between the two regions at different points in time. Changes in the concept depend on a number of factors, such as cultural influence, the political balance of power between the two regions, and on the interpretative scheme that defines the relationship. In addition, the geographical notion of the concept evolves culturally, socially and politically. During this process, Oriental-ness becomes Oriental-ism at times. I will attempt to survey and measure the progression of Orientalness from its emergence in early 17th century to its subsequent transformation in modern Korea as reflected in art theory and art works. The recognition of the comparative characteristics of Oriental art began when the Orient was exposed to the art of the West in the late Ming dynasty during the early 17th century. The changes in the artistic climate in China affected the late Chosun. I will start with a brief introduction of this time and the birth of Orientalness. The concept gradually changed during the period of Enlightenment(開化期) towards the end of the 19th century, and during the colonial period( 1910-1945) it took on a new form. Establishment of the concept of "Orient"as a single, unifying concept spanning across cultures and national boundaries has been attributed to late Meiji period Japan, whose intention at that time is believed to have been to build a pan-Asia(亞細亞) empire with Japan at its commanding center. It has been stressed that the real motive behind the formation of one single cultural unit, where the shared common written language was Chinese and Confucianism and Taoism were the common metaphysical traditions, was to build one political unit. When the notion of a geographical unit of Asia was replaced by the concept of Asia as a cultural and political unit, a massive growth of interest and discourse were provoked around the concept of Orientalism. When Orientalism was being formulated, Korea automatically became member of "one Asia" when the country became colonized. For Koreans, the identity of the Orient had to be defined in cultural terms, as the political notion of a nation was non-existent at that time. The definition of identity was pursued at two levels, pan-Asian and local. If Orientalism was an elite discourse centered in pan-Asian philosophical and religious tradition, localized Orientalism was a popular discourse emphasizing locality as the byproduct of natural geographic condition. After the liberation in 1945 from colonial rule, a thrust of movement arose towards political nationalism. Two types of discourses on Orientalism, elite and popular, continued as central themes in art. Despite the effort to redefine the national identity by eradicating the cultural language of the colonial past, the past was enduring well into the present time. As discussed above, even when the painting themes were selected from Korean history, the tradition of using history painting as a manifestation of political policy to glorify the local identity had its founding during the Meiji period. The elevation of folk art to the level of high art also goes back to the colonial promotion of local color and local sentiment. Again, the succession of the past (colonial) ideal was defended as the tradition assumed a distinct modern shape that was abstract in style. The concept of the "Orient" is of relative and changing nature. It was formulated in relation to Western culture or civilization. Whatever the real motive of the adoption of them had been, the superiority of the Orient was emphasized at all times. The essence of the Orient was always perceived as the metaphysical tradition as a way to downgrade Western culture as materialistic. This view still prevails and the principle of Orient was always sought in Confucianism, Taoism, and Buddhism. Even when Orientalism was employed by imperialist Japan in an effort to establish her position as the center of the Orient, the spiritual source was still in Chinese philosophy and religion. In art also, the Chinese literati tradition became the major platform for elite discourse. Orientalism was also defined locally, and the so-called local color was pursued in terms of theme and style. Thus trend continued despite the effort to eradicate the remnants of colonial culture long after liberation. These efforts are now being supported politically and also institutionalized to become the aesthetic ideal of the modern Korean art.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.43-61
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• 2019

Development of technologies in artificial intelligence has been rapidly increasing with the Fourth Industrial Revolution, and researches related to AI have been actively conducted in a variety of fields such as autonomous vehicles, natural language processing, and robotics. These researches have been focused on solving cognitive problems such as learning and problem solving related to human intelligence from the 1950s. The field of artificial intelligence has achieved more technological advance than ever, due to recent interest in technology and research on various algorithms. The knowledge-based system is a sub-domain of artificial intelligence, and it aims to enable artificial intelligence agents to make decisions by using machine-readable and processible knowledge constructed from complex and informal human knowledge and rules in various fields. A knowledge base is used to optimize information collection, organization, and retrieval, and recently it is used with statistical artificial intelligence such as machine learning. Recently, the purpose of the knowledge base is to express, publish, and share knowledge on the web by describing and connecting web resources such as pages and data. These knowledge bases are used for intelligent processing in various fields of artificial intelligence such as question answering system of the smart speaker. However, building a useful knowledge base is a time-consuming task and still requires a lot of effort of the experts. In recent years, many kinds of research and technologies of knowledge based artificial intelligence use DBpedia that is one of the biggest knowledge base aiming to extract structured content from the various information of Wikipedia. DBpedia contains various information extracted from Wikipedia such as a title, categories, and links, but the most useful knowledge is from infobox of Wikipedia that presents a summary of some unifying aspect created by users. These knowledge are created by the mapping rule between infobox structures and DBpedia ontology schema defined in DBpedia Extraction Framework. In this way, DBpedia can expect high reliability in terms of accuracy of knowledge by using the method of generating knowledge from semi-structured infobox data created by users. However, since only about 50% of all wiki pages contain infobox in Korean Wikipedia, DBpedia has limitations in term of knowledge scalability. This paper proposes a method to extract knowledge from text documents according to the ontology schema using machine learning. In order to demonstrate the appropriateness of this method, we explain a knowledge extraction model according to the DBpedia ontology schema by learning Wikipedia infoboxes. Our knowledge extraction model consists of three steps, document classification as ontology classes, proper sentence classification to extract triples, and value selection and transformation into RDF triple structure. The structure of Wikipedia infobox are defined as infobox templates that provide standardized information across related articles, and DBpedia ontology schema can be mapped these infobox templates. Based on these mapping relations, we classify the input document according to infobox categories which means ontology classes. After determining the classification of the input document, we classify the appropriate sentence according to attributes belonging to the classification. Finally, we extract knowledge from sentences that are classified as appropriate, and we convert knowledge into a form of triples. In order to train models, we generated training data set from Wikipedia dump using a method to add BIO tags to sentences, so we trained about 200 classes and about 2,500 relations for extracting knowledge. Furthermore, we evaluated comparative experiments of CRF and Bi-LSTM-CRF for the knowledge extraction process. Through this proposed process, it is possible to utilize structured knowledge by extracting knowledge according to the ontology schema from text documents. In addition, this methodology can significantly reduce the effort of the experts to construct instances according to the ontology schema.