• Journal of Korean Philosophical Society
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• v.126
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• pp.133-158
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• 2013

The main aim of this paper is to show that Gadamer's notion of historical constraint of interpretation is an unsuccessful theoretical postulation. Gadamer tries to present the limits of knowledge and interpretation in terms of his notion of understanding as an event. According to Gadamer, interpretation is bound to be incomplete by nature, and this leads to the thesis of "the uncertainty of interpretation". Although Gadamer seems to make his case successfully against the objective and ahistorical frame of interpretation, his thesis of the uncertainty of interpretation inevitably brings up the fear of nihilistic relativism. To meet this problem, Gadamer offers a constraint of hermeneutic situation, which is derived from the historicity underlying all forms of our existence. Nevertheless, the notion of historicity as the essence of human life does not seem to explain successfully how the actual content of an interpretation is constrained. Drawing on the experientialist notion of 'the embodied understanding", I suggest that the working constraint of interpretations can be appropriately found in the commonality of human experience which is conspicuous at the bodily and physical level of experience. In sum, interpretations, as part of mental and abstract level of experience, arise out of the bodily and physical level of experience, and at the same time strongly constrained by it.

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.89-105
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• 2014

After emergence of Internet, social media with highly interactive Web 2.0 applications has provided very user friendly means for consumers and companies to communicate with each other. Users have routinely published contents involving their opinions and interests in social media such as blogs, forums, chatting rooms, and discussion boards, and the contents are released real-time in the Internet. For that reason, many researchers and marketers regard social media contents as the source of information for business analytics to develop business insights, and many studies have reported results on mining business intelligence from Social media content. In particular, opinion mining and sentiment analysis, as a technique to extract, classify, understand, and assess the opinions implicit in text contents, are frequently applied into social media content analysis because it emphasizes determining sentiment polarity and extracting authors' opinions. A number of frameworks, methods, techniques and tools have been presented by these researchers. However, we have found some weaknesses from their methods which are often technically complicated and are not sufficiently user-friendly for helping business decisions and planning. In this study, we attempted to formulate a more comprehensive and practical approach to conduct opinion mining with visual deliverables. First, we described the entire cycle of practical opinion mining using Social media content from the initial data gathering stage to the final presentation session. Our proposed approach to opinion mining consists of four phases: collecting, qualifying, analyzing, and visualizing. In the first phase, analysts have to choose target social media. Each target media requires different ways for analysts to gain access. There are open-API, searching tools, DB2DB interface, purchasing contents, and so son. Second phase is pre-processing to generate useful materials for meaningful analysis. If we do not remove garbage data, results of social media analysis will not provide meaningful and useful business insights. To clean social media data, natural language processing techniques should be applied. The next step is the opinion mining phase where the cleansed social media content set is to be analyzed. The qualified data set includes not only user-generated contents but also content identification information such as creation date, author name, user id, content id, hit counts, review or reply, favorite, etc. Depending on the purpose of the analysis, researchers or data analysts can select a suitable mining tool. Topic extraction and buzz analysis are usually related to market trends analysis, while sentiment analysis is utilized to conduct reputation analysis. There are also various applications, such as stock prediction, product recommendation, sales forecasting, and so on. The last phase is visualization and presentation of analysis results. The major focus and purpose of this phase are to explain results of analysis and help users to comprehend its meaning. Therefore, to the extent possible, deliverables from this phase should be made simple, clear and easy to understand, rather than complex and flashy. To illustrate our approach, we conducted a case study on a leading Korean instant noodle company. We targeted the leading company, NS Food, with 66.5% of market share; the firm has kept No. 1 position in the Korean "Ramen" business for several decades. We collected a total of 11,869 pieces of contents including blogs, forum contents and news articles. After collecting social media content data, we generated instant noodle business specific language resources for data manipulation and analysis using natural language processing. In addition, we tried to classify contents in more detail categories such as marketing features, environment, reputation, etc. In those phase, we used free ware software programs such as TM, KoNLP, ggplot2 and plyr packages in R project. As the result, we presented several useful visualization outputs like domain specific lexicons, volume and sentiment graphs, topic word cloud, heat maps, valence tree map, and other visualized images to provide vivid, full-colored examples using open library software packages of the R project. Business actors can quickly detect areas by a swift glance that are weak, strong, positive, negative, quiet or loud. Heat map is able to explain movement of sentiment or volume in categories and time matrix which shows density of color on time periods. Valence tree map, one of the most comprehensive and holistic visualization models, should be very helpful for analysts and decision makers to quickly understand the "big picture" business situation with a hierarchical structure since tree-map can present buzz volume and sentiment with a visualized result in a certain period. This case study offers real-world business insights from market sensing which would demonstrate to practical-minded business users how they can use these types of results for timely decision making in response to on-going changes in the market. We believe our approach can provide practical and reliable guide to opinion mining with visualized results that are immediately useful, not just in food industry but in other industries as well.

• 한국노년학
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• v.36 no.3
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• pp.785-808
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• 2016

This study portraits the way of self-preparation for death among the elderly and examines the meaning and values attached to the elderly-care by their family and friends through the analysis of Kyung-ran Jo's novels. First, the author describes the difficulties and inner conflict of women who provide care for the elderly, especially those facing death in the near future. She also describes how the acceptance of death and self-discovery among the caregivers can be developed from the experience of long term care. These are consistent with the arguments by Ecofemnist on positive sides of providing caregiving in an aging society. In her novels, caregiving from young women is not described as the consequences of internalized gender norms of traditional Confucian culture. Rather, it is depicted as attitude toward a life in a commune where the meaning of life and death of elderly is shared between generations. In addition, struggles of the elderly figures against diseases and the process of their death provide an opportunity for young caregivers to overcome the trauma of other's death witnessed in their childhood. They lead the young caregivers to reflect themselves by raising ontologistic questions on life and death. The author shows the communication between generations presenting the self-preparation of death from the old generation undergoing irreversible aging and caregiving activities of significant others from the young generation. In doing so, the author points out the ethical grounds for diseases and death in old age given the condition of personalization of death in the modern society.

• (The)Study of the Eastern Classic
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• no.50
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• pp.261-294
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• 2013

The purpose of this paper lies how the original text of Chinese classical literary works have been implemented in the paintings of China and Korea, and inspect the ways how of these original text interpreted in paintings. It is an experiment of trying to analyze through literature with painting and read again painting through literature. Qu Yuan(屈原) Prose Poem of Fisherman("漁父辭"), Tao Yuanming(陶淵明) Prose Poem of Returning Home("歸去來辭") and the prose with a poem on the peach blossom spring("桃花源記幷詩"), Du Fu(杜甫), Song of Eight Drunken Celestials("飮中八仙歌"), Su Shi(蘇軾), Odes on the Red Cliff("赤壁賦"), Ou Yangxiu(歐陽脩), Odes of the Sounds of Autumn("秋聲賦") and the paintings which based on these texts were the target of examination. These literary texts shared by Chinese and Korea have been compared in the aspects of acceptance and enjoyment. And on the basis of this process the characteristics of korean paintings expressing the ideas of classical literary works was induced. As a result, the following facts are derived. First, By the emergence of the typical style which was formed historically in China at the korean painting shows that korean painters not only actively embraced the art style of China also did not lose the international sense. Second, through the profound study for chinese painting, they transformed it in accordance with korean aesthetic view and finally revealed typical korean characteristics. Third, the results as described above showed the difference of perception and interpretation of literary works between China and Korea.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.29-45
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• 2015

Systematic theory, concepts, and methodology for the biological evolution have been developed while patterns and principles of the evolution have been actively studied in the past 200 years. Furthermore, they are applied to various fields such as evolutionary economics, evolutionary psychology, evolutionary linguistics, making significant progress in research. In addition, existing studies have applied main biological evolutionary models to artifacts although such methods do not fit to them. These models are also limited to generalize evolutionary patterns of artifacts because they are designed in terms of a subjective point of view of experts who know well about the artifacts. Unlike biological organisms, because artifacts are likely to reflect the imagination of the human will, it is known that the theory of biological evolution cannot be directly applied to artifacts. In this paper, beyond the individual's subjective, the aim of our research is to present evolutionary patterns of a given artifact based on peeping the idea of the public. For this, we propose a text mining approach that presents a systematic framework that can find out the evolutionary patterns of a given artifact and then visualize effectively. In particular, based on our proposal, we focus mainly on a case study of mobile phone that has emerged as an icon of innovation in recent years. We collect and analyze review posts on mobile phone available in the domestic market over the past decade, and discuss the detailed results about evolutionary patterns of the mobile phone. Moreover, this kind of task is a tedious work over a long period of time because a small number of experts carry out an extensive literature survey and summarize a huge number of materials to finally draw a diagram of evolutionary patterns of the mobile phone. However, in this work, to minimize the human efforts, we present a semi-automatic mining algorithm, and through this research we can understand how human creativity and imagination are implemented. In addition, it is a big help to predict the future trend of mobile phone in business and industries.

• Sijohaknonchong
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• v.20
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• pp.113-139
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• 2004

This article intends to illuminate how the men. leading agents in Saseol-sijo - musical performers. writers of lyrics, patrons. composers. compilers of Sijo anthologies, audience. etc. - In the Late Choson period, viewed or recognized women and how their understanding of women was reflected in the texts. Working with texts with the theme of 'Love,' this article starts with categorizing two types of love: the first type, 'lovelorn heart' focusing on unilateral pining for a single lover who is absent now and the second type. 'physical love' concentrating on bilateral sexual intercourse. In addition to the types of love, the gender of poetic speakers, distinct from real poets is vital to characterize the discourse of love. According to these two factors. texts in question fall into four groups: texts that a female speaker displays her lovelorn heart('Type 1'), those where she speaks about her sexual experiences('Type 2'), those where a male speaker sings his lovelorn heart('Type 3'), and those where he describes his sexual experiences('Type 4'). Of these. 'Type 2' and 'Type 3' are key to understanding of the men's view of women. With respect to the configuration of the theme of 'Love,' it should be noted that in Korean literary history, the nim or a 'sweetheart' had signified the totality of value or a perfect entity which makes one's life meaningful and that 'Type 1,' the pattern that a female subject expresses her love toward male min, had constituted a traditional way to convey the theme of 'Love.' In terms of this connotation of min. a remarkable increase of 'Type 3' implying the increase of male speakers, reveals the extent to which women, the male speakers' min, accomplished their entry into a 'sacred area' -the position of mm-in which only men had occupied; females are focused and centralized. This article considers this phenomenon as an exhibition of the upgrade of women's significance and weight in the Late Choson society and as an index of 'modernity.' Meanwhile, given that most of the Saseol-sijo poets are men, the emergence of the 'Type 2' texts in which male poets have female speakers disclose their sexual experiences, demonstrates a representative example that women are degraded to be a means of men's pleasure; for this situation gives men more pleasure than when male speakers reveal their sexual experiences. Not only 'Type 2,' but texts group which basically belongs to 'Type I' and conveys the theme of 'Loyalty' through the female voice by substituting rulers-subjects relation for men-women relation, also falls under the same case. For men employ female voice as a poetic device in order to stress the theme of 'Loyalty' This article regards this phenomenon as an index of 'pre-modernity,' in the sense that in a pre-modem society, specifically in Early Choson, male-oriented value system dominates, thereby alienating women. As it is well known, the Late Choson is marked by a transitional period from a pre-modem society to a modem society. Therefore the ambivalence of the premodern and the modem can be found mixed in every segment of the society. The dual aspects of the masculine view of women in Saseol-sijo constitutes one example. The significance of the Saseol-sijo in Korean literary history can be found in this phenomenon.

• The Journal of the Korea Contents Association
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• v.8 no.1
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• pp.68-74
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• 2008

Application areas of Knowledge Discovery in Database(KDD) have been expanded to many R&D management processes including technology trends analysis, forecasting and evaluation etc. Established research field such as informetrics (or scientometrics) has utilized techniques or methods of KDD. Various systems have been developed to support works of analyzing large-scale R&D related databases such as patent DB or bibliographic DB by a few researchers or institutions. But extant systems have some problems for korean users to use. Their prices is not moderate, korean language processing is impossible, and user's demands not reflected. To solve these problems, Korea Institute of Science and Technology Information(KISTI) developed stand-alone type information analysis system named as KnowledgeMatrix. KnowledgeMatrix system offer various functions to analyze retrieved data set from databases. KnowledgeMatrix's main operation unit is composed of user-defined lists and matrix generation, cluster analysis, visualization, data pre-processing. Matrix generation unit help extract information items which will be analyzed, and calculate occurrence, co-occurrence, proximity of the items. Cluster analysis unit enable matrix data to be clustered by hierarchical or non-hierarchical clustering methods and present tree-type structure of clustered data. Visualization unit offer various methods such as chart, FDP, strategic diagram and PFNet. Data pre-processing unit consists of data import editor, string editor, thesaurus editor, grouping method, field-refining methods and sub-dataset generation methods. KnowledgeMatrix show better performances and offer more various functions than extant systems.

• Journal of the Korean School Mathematics Society
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• v.10 no.1
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• pp.27-43
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• 2007

The aim of this paper is to develop a web-based learning system in order to motivate college students in the area of science and engineering to study college calculus. We designed and developed web-based contents, named MathBooster, using Mathematica, webMathematica and phpMath taking advantages of rapid computation and symbolic computation. The features of MathBooster consists of four parts: graphical representation of calculus concepts, textual illustrations of conceptual understanding, example-based step-by-step learning with phpMath, and quizzes with diagnostic feedback. After the MathBooster was practiced with engineering students, the formative evaluation was conducted with survey items composed in four categories: user responses, screen layout, practicing examples and diagnostic feedback in solving quizzes. The overall level of user satisfaction was statistically measured using SPSS. Those results indicate which parts of MathBooster are needed for future enhancement.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.2
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• pp.141-147
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• 2012

The purpose of the study is the acquisitions of knowledge related in job searching from local companies and job seekers using data mining techniques. At the first step, for the study, we had selected the local companies their headquarters are located in Jeonbuk province. Then we had picked the graduating students out from the high schools, colleges, and universities in the same area as the job seekers. After the targeting of the sample, we had surveyed 560 local companies and 14 schools for the collecting of the preliminary data. As the result of the survey, we could collect 173 responses from the companies and 551 responses from the job seekers. At the second step using data mining, we had adapted the C5.0 algorithm to extract the inference rules. Then we had used the Visual Basic (VB) programming language to visualize the rules at the third step. At the fourth step, we transformed the inference rules into DB tables. At the final step, we had executed the rule inferences to support the development of the long-term human resources development (HRD) strategies. As the result of the study, we could suggest the helpful information to the HRD directors and job seekers in designing their strategies in managing their jobs and career development.

• Journal of the HCI Society of Korea
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• v.7 no.2
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• pp.35-42
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• 2012

The purpose of this study was to evaluate the usability of the tablet PC-based Korean high-tech AAC(Augmentative Alternative Communication System) software. In order to develop an AAC software which is appropriate to Korean cultural/linguistic contexts and communication needs of the users, we examined the necessity and ease of use for the communication functions that are required in native Korean communication, such as polite expressions, tense expressions, negative expressions, subject-verb auto-matching, and automatic sentence generation functions, using a scenario-based user testing. We also investigated the users' needs, preferences, and satisfaction for the tablet PC-based Korean high tech AAC using a semi-structured and open questionnaires. The participants of this study were 9 special education teachers, 6 speech therapists, and 6 parents whose children had communication disabilities. The results of the usability testing of the tablet PC-based Korean high-tech AAC software presented positive responses in general, by indicating overall scores of above 4 out of 5 except in tense and negative expressions. The necessity and ease of use in the tense and negative expressions were evaluated relatively low, and it might be related to the inconsistent interface with the polite expressions. In terms of the user interface(UI), there were users' needs for clear visual feedback in the symbol selection and display, consistent interface for all functions, more natural subject-verb auto-matching, and spacing in the text within symbols. The results of the usability testing and users' feedback might serve as a guideline to compensate and improve the function and UI of the existing AAC software.