• Spatial Information Research
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• v.20 no.5
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• pp.99-109
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• 2012

Recently, due to the growth of social media and spread of smart-phone, the amount of data has considerably increased by full use of SNS (Social Network Service). According to it, the Big Data concept is come up and many researchers are seeking solutions to make the best use of big data. To maximize the creative value of the big data held by many companies, it is required to combine them with existing data. The physical and theoretical storage structures of data sources are so different that a system which can integrate and manage them is needed. In order to process big data, MapReduce is developed as a system which has advantages over processing data fast by distributed processing. However, it is difficult to construct and store a system for all key words. Due to the process of storage and search, it is to some extent difficult to do real-time processing. And it makes extra expenses to process complex event without structure of processing different data. In order to solve this problem, the existing Complex Event Processing System is supposed to be used. When it comes to complex event processing system, it gets data from different sources and combines them with each other to make it possible to do complex event processing that is useful for real-time processing specially in stream data. Nevertheless, unstructured data based on text of SNS and internet articles is managed as text type and there is a need to compare strings every time the query processing should be done. And it results in poor performance. Therefore, we try to make it possible to manage unstructured data and do query process fast in complex event processing system. And we extend the data complex function for giving theoretical schema of string. It is completed by changing the string key word into integer type with filtering which uses keyword set. In addition, by using the Complex Event Processing System and processing stream data at real-time of in-memory, we try to reduce the time of reading the query processing after it is stored in the disk.

• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.133-149
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• 2014

One of the main purposes of universities is to create new intellectual resources that will increase social values. These intellectual resources include academic research papers, lecture notes, patents, and creative ideas produced by both professors and students. However, intellectual resources in universities are often not distributed to the actual users or companies; and moreover, they are not even systematically being managed inside of the universities. Therefore, it is almost impossible for companies to access the knowledge created by university students and professors to utilize them. Thus, the current level of knowledge sharing between universities and industries are very low. This causes a great extravagant with high-quality intellectual and human resources, and it leads to quite an amount of social loss in the modern society. In the 21st century, the creative ideas are the key growth powers for many industries. Many of the globally leading companies such as Fedex, Dell, and Facebook have established their business models based on the innovative ideas created by university students in undergraduate courses. This indicates that the unconventional ideas from young generations can create new growth power for companies and immensely increase social values. Therefore, this paper suggests of a new platform for intellectual properties distribution with university-industry cooperation. The suggested platform distributes intellectual resources of universities to industries. This platform has following characteristics. First, it distributes not only the intellectual resources, but also the human resources associated with the knowledge. Second, it diversifies the types of compensation for utilizing the intellectual properties, which are beneficial for both the university students and companies. For example, it extends the conventional monetary rewards to non-monetary rewards such as influencing on the participating internship programs or job interviews. Third, it suggests of a new knowledge map based on the relationships between key words, so that the various types of intellectual properties can be searched efficiently. In order to design the system platform, we surveyed 120 potential users to obtain the system requirements. First, 50 university students and 30 professors in humanities and social sciences departments were surveyed. We sent queries on what types of intellectual resources they produce per year, how many intellectual resources they produce, if they are willing to distribute their intellectual properties to the industries, and what types of compensations they expect in returns. Secondly, 40 entrepreneurs were surveyed, who are potential consumers of the intellectual properties of universities. We sent queries on what types of intellectual resources they want, what types of compensations they are willing to provide in returns, and what are the main factors they considered to be important when searching for the intellectual properties. The implications of this survey are as follows. First, entrepreneurs are willing to utilize intellectual properties created by both professors and students. They are more interested in creative ideas in universities rather than the academic papers or educational class materials. Second, non-monetary rewards, such as participating internship program or job interview, can be the appropriate types of compensations to replace monetary rewards. The results of the survey showed that majority of the university students were willing to provide their intellectual properties without any monetary rewards to earn the industrial networks with companies. Also, the entrepreneurs were willing to provide non-monetary compensation and hoped to have networks with university students for recruiting. Thus, the non-monetary rewards are mutually beneficial for both sides. Thirdly, classifying intellectual resources of universities based on the academic areas are inappropriate for efficient searching. Also, the various types of intellectual resources cannot be categorized into one standard. This paper suggests of a new platform for the distribution of intellectual materials and human resources, with university-industry cooperation based on these survey results. The suggested platform contains the four major components such as knowledge schema, knowledge map, system interface, and GUI (Graphic User Interface), and it presents the overall system architecture.

• 기호학연구
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• no.57
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• pp.211-255
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• 2018

This paper attempts to "re-read" the webtoon Misaeng, which was once an important issue in the field of public discourse on "labor". Our hypothesis was that the dual actactial structure of Misaeng's hero Jang Geurae gave a dual structure to the entire text, which leads to the discovery of text meaning that was not mentioned in the existing discourse. This is based on the concept of 'meta-story character', which Hiroki Azuma talked in his postmodern literary theory. To verify this hypothesis we analyzed the text by applying the Parisian semiotics, more specifically J. Fontanille's theory. Jang Geurae is observed to be a actant of dual structure divided into 'character' of the enunciated level and 'player' of the enunciation level. Considering this characteristic of the hero, Misaeng can be interpreted as a metafiction that shows the 'shifting' between the subject of the enunciated level and the subject of the enunciation level. On the level of 'character' Jang's existence mode turns out to be "Deficiency (actualized)", but on the level of 'player' Jang 's existence mode turns out to be "Inanity(potentiallized)." His somatic responses also show a duality, which is represented by Fontanille's corps-actant model, where on the level of 'character' the somatic actant of Jang consists of 'Moi-chair(ego-flesh)' and 'Soi-idem(self-idem)', and on the level of 'player' it consists of 'Moi-chair(ego-flesh)' and 'Soi-ipse(self-ipse)'. The former mainly acts as a 'role' and takes charge of exteroceptive perception, while the latter mainly acts as 'attitude' and takes charge of interoceptive perception. Because of this dissociative nature of actant, Jang's two 'self' draw the re-adjustment of values without serious conflict between the collective norms and the individual identity. This is in sharp contrast with other characters who struggle with the conflict between the environment and "self". It becomes customary to adopt norms that are suspected to ineffective, but if you raise questions, the normative system can be updated. On one axis of Misaeng there are characters who have lost themselves in customs. On the other axis, there is Jang who can not help dismantling the existing ineffective norms and updating the normative system. Jang's existence mode seems to be one of many possible modes generated by this era where people share no longer solid community values, His actantial structure also communicates with readers of these days who put themselves more in subject of enunciation level than of enunciated level.

• The Journal of Korean Philosophical History
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• no.31
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• pp.53-86
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• 2011

Taoism exercised its influence and has made much progress apparently under the aegis of the Tang dynasty. But since the external alchemy, a traditional way of eternal life that they have pursued, met the limitation, they were placed in a situation where they needed to seek a new discipline. From this period to the early North Song dynasty, three religions have established the unique theoretical systems of their own theory of ascetic practices. They showed their own unique formats as follows. Neo-Confucianism established the theory of moral training, Buddhism did the theory of ascetic practices and Taoism had theory of discipline. By this time, a person who claimed the Intermixture of Three Religions composed the new system of theory of ascetic practice by taking advantage of other religions and putting them into his own view. Chen tuan established the theory of internal alchemy of Taoism and was the most influential figure in the world of thought since North Song dynasty. He clearly declared that he accepted the merits of other religions in his theory. He added I Ching of Confucianism in I Ching of secret of Taoism to stop the logical gaps during the process of disciplines in Taoism and took ascetic practices on mind of Buddhism into his system while he sought a way to integrate the dual structure of body and mind. The theory of Chen tuan's internal alchemy was training schema with stages of 'YeonJeongHwaGi', 'YeonGiHwaSin', and 'YeonSinHwanHeo' based on the concepts of vital, energy and spirit. The internal alchemy practice that Chen tuan was saying started from the practice of Zen to keep the mind calm with the basis of fundamental principles of interpretation of book of change according to Taoism. When a person reached the state to be in concert with all changes at the end of the silence and be full of wisdoms, he finally returned to the state of BokGwiMuGeuk by taking the flow of subtle mind and transforming it into energy. He expressed this process by drawing 'MuGeukDo'. Oriental philosophy categorized human into 'phenomenal existence' and 'original existence'. The logic of theory of ascetic practice has been established from these 'category of existence'. It would be determined whether it will return to 'original existence' or be stepped up from 'phenomenal existence' according to how the concept of 'self' or 'I' was made. Chen tuan who established the theory of internal alchemy in Taoism has established the unique theory of internal alchemy discipline and system of intermixture of three religions in this aspect. Today is called 'era of self-loss' or 'era of incurable diseases' caused by environmental pollution. It's still meaningful to review the theory of discipline of Chen tuan's connecting the body and the soul to heal the self, and keep life healthy and pursue the new way of discipline based on it.

• Korean Journal of Culture and Social Issue
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• v.26 no.3
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• pp.121-143
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• 2020

The present study examined the content and changes in leader role schemas associated with 'male' leaders, 'female' leaders, and 'good' leaders over the past 10 years in Korea. In addition, we analyzed how the gender of the respondents affects their perception of male leaders versus female leaders as a good leader. A total of 736 Korean adults residing in the Seoul metropolitan area participated in the survey at two different time points, one in 2007, and the other in 2017. The respondents were presented with a total of 90 behavior items driven from the literature and asked to choose the items that represent male leaders, female leaders, and good leaders, respectively. We found that the chosen behavior items for male leaders versus female leaders matched closely to the typical sex role of males (i.e., being agentic) versus females (i.e., being communal). By contrast, the chosen behavior items for good leaders reflected both the male-typed roles and the female-typed roles. We also found that the role schemas associated with male leaders as well as good leaders have changed over the 10 year period. Those schemas also differed between male versus female respondents. For female leaders, however, the role schemas were found to be stable over the 10 years. We also found that the good leader schemas are more specified and variable than are the male or the female schemas. Additionally, in the 2007 survey male characteristics overlapped with good leader characteristics to a greater degree than did female characteristics. This difference was no longer observed in the 2017 survey. The observed difference in the degree of overlap between male (versus female) characteristics with good leader characteristics was attributable to the perceptions of male respondents. We discuss implications of our findings and directions for future research.

• Asia Marketing Journal
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• v.12 no.2
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• pp.53-81
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• 2010

Brand experience has received much attention from considerable marketing research. When consumers consume and use brands, they are exposed to various specific brand-related stimuli. These brand-related stimuli include brand identity and brand communications(e.g., colors, shapes, designs, slogans, mascots, brand characters) components. Brakus, Schmitt, and Zarantonello(2009) conceptualized brand experience as subjective and internal consumer responses evoked by brand-related stimuli. They demonstrated that brand experience can be broken down into four dimensions(sensory, affective, intellectual, and behavioral). Because experiences result from stimulations and lead to pleasurable outcomes, we expect consumers to want to repeat theses experiences. That is, brand experiences, stored in consumer memory, should affect brand loyalty. Consumers with positive experiences should be more likely to buy a brand again and less likely to buy an alternative brand(Fournier 1998; Oliver 1997). Brand attachment, one of dimensions of the consumer-brand relationship, is defined as an emotional bond to the specific brand(Thomson, MacInnis, and Park 2005). Brand attachment is target-specific bond between the consumer and the specific brand. Thus, strong attachment is attended by a rich set of schema that link the brand to the consumer. Previous researches propose that brand attachments should affect consumers' commitment to the brand. Brand experience differs from affective construct such as brand attachment. Brand attachment is based on interaction between a consumer and the brand. In contrast, brand experience occurs whenever there is a direct and indirect interaction with the brand. Furthermore, brand experience is not an emotional relationship concept. Brakus et al.(2009) suggest that brand experience may result in brand attachment. This study aims to distinguish brand experience dimensions and investigate the effects of brand experience on brand attachment and brand commitment. We test research problems with data from 265 customers having brand experiences in various product categories by using multiple regression and structural equation model. The empirical results can be summarized as follows. First, the paths from affective, behavior, and intellectual experience to the brand attachment were found to be positively significant whereas the effect of sensory experience to brand attachment was not supported. In the consumer literature, sensory experiences for consumers are often equated with aesthetic pleasure. Over time, these pleasure experiences can affect consumer satisfaction. However, sensory pleasures are not linked to attachment such as consumers' strong emotional bond(i.e., hot affect). These empirical results confirms the results of previous studies. Second, brand attachment including passion and connection influences brand commitment positively but affection does not influence brand commitment. In marketing context, consumers with brand attachment have intention to have a willingness to stay with the relationship. The results also imply that consumers' emotional attachment is characterized by a set of brand experience dimensions and consumers who are emotionally attached to the brand are committed. The findings of this research contribute to develop differences between brand experience and brand attachment and to provide practical implications on the brand experience management. Recently, many brand managers have focused on short-term view. According to this study, we suggest that effective brand experience management requires taking a long-term view of marketing decisions.

• Sim-seong Yeon-gu
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• v.31 no.1
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• pp.1-40
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• 2016

This thesis is a study on the symbolism of 'Yeondo', a prayer for the souls in purgatory of Korean Catholic Church as a 'psychic container' for the spiritual transformation in the psyche from a perspective of analytical psychology. Yeondo' could be the 'rites of passage' of the last judgement for the souls in purgatory which is in between the heaven and the hell. And both the bereaved and the dead go through the stages of separation, transition and incorporation which are the schema of the 'rites of passage'. In particular, they have a special sense of solidarity at the stage of transition, a middle state. The symbolic process of 'Yeondo' is a spiritual transformation of recovery of paradise which could access by the confusion of death, purification and the rebirth. A spiritual reborn process of death and rebirth takes place by contacting the collective unconscious. In 'Yeondo', the death is not the end of life but the beginning of the eternal life. The confusion and disintegration caused by death can be purified and start incorporating. The rites of a paradise recovery has the meaning of trying constantly for the recovery of a wholeness. Praying for the blessing of God and a help from saints in paradise for the sake of the dead means to require conscious cooperation for the Self-realization. Integrating and recognizing unconscious also means something beyond the conscious. The blessed souls in purgatory recovers the paradise experiencing specific purifying process heading towards Self. Going into the center, abyss of unconscious will be recognized as an absolute part of oneself. One becomes the inner man, the transformed personality who is reached by the path of self-knowledge, the kingdom of heaven within oneself and can have the transpersonal energy, which enables to access to God's world and union with God. All desire and the will become one with God. In the final analysis, praying for the blessing of God and a help from saints in paradise for the sake of the dead becomes the path for the more and more conscious expansion of the alive. Therefore, 'Yeondo' as an initiation is the individuation process of the alive and the dead to reflect on themselves.

• Asia pacific journal of information systems
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• v.17 no.4
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• pp.31-59
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• 2007

We frequently use search engines to find relevant information in the Web but still end up with too much information. In order to solve this problem of information overload, ranking algorithms have been applied to various domains. As more information will be available in the future, effectively and efficiently ranking search results will become more critical. In this paper, we propose a ranking algorithm for the Semantic Web resources, specifically RDF resources. Traditionally, the importance of a particular Web page is estimated based on the number of key words found in the page, which is subject to manipulation. In contrast, link analysis methods such as Google's PageRank capitalize on the information which is inherent in the link structure of the Web graph. PageRank considers a certain page highly important if it is referred to by many other pages. The degree of the importance also increases if the importance of the referring pages is high. Kleinberg's algorithm is another link-structure based ranking algorithm for Web pages. Unlike PageRank, Kleinberg's algorithm utilizes two kinds of scores: the authority score and the hub score. If a page has a high authority score, it is an authority on a given topic and many pages refer to it. A page with a high hub score links to many authoritative pages. As mentioned above, the link-structure based ranking method has been playing an essential role in World Wide Web(WWW), and nowadays, many people recognize the effectiveness and efficiency of it. On the other hand, as Resource Description Framework(RDF) data model forms the foundation of the Semantic Web, any information in the Semantic Web can be expressed with RDF graph, making the ranking algorithm for RDF knowledge bases greatly important. The RDF graph consists of nodes and directional links similar to the Web graph. As a result, the link-structure based ranking method seems to be highly applicable to ranking the Semantic Web resources. However, the information space of the Semantic Web is more complex than that of WWW. For instance, WWW can be considered as one huge class, i.e., a collection of Web pages, which has only a recursive property, i.e., a 'refers to' property corresponding to the hyperlinks. However, the Semantic Web encompasses various kinds of classes and properties, and consequently, ranking methods used in WWW should be modified to reflect the complexity of the information space in the Semantic Web. Previous research addressed the ranking problem of query results retrieved from RDF knowledge bases. Mukherjea and Bamba modified Kleinberg's algorithm in order to apply their algorithm to rank the Semantic Web resources. They defined the objectivity score and the subjectivity score of a resource, which correspond to the authority score and the hub score of Kleinberg's, respectively. They concentrated on the diversity of properties and introduced property weights to control the influence of a resource on another resource depending on the characteristic of the property linking the two resources. A node with a high objectivity score becomes the object of many RDF triples, and a node with a high subjectivity score becomes the subject of many RDF triples. They developed several kinds of Semantic Web systems in order to validate their technique and showed some experimental results verifying the applicability of their method to the Semantic Web. Despite their efforts, however, there remained some limitations which they reported in their paper. First, their algorithm is useful only when a Semantic Web system represents most of the knowledge pertaining to a certain domain. In other words, the ratio of links to nodes should be high, or overall resources should be described in detail, to a certain degree for their algorithm to properly work. Second, a Tightly-Knit Community(TKC) effect, the phenomenon that pages which are less important but yet densely connected have higher scores than the ones that are more important but sparsely connected, remains as problematic. Third, a resource may have a high score, not because it is actually important, but simply because it is very common and as a consequence it has many links pointing to it. In this paper, we examine such ranking problems from a novel perspective and propose a new algorithm which can solve the problems under the previous studies. Our proposed method is based on a class-oriented approach. In contrast to the predicate-oriented approach entertained by the previous research, a user, under our approach, determines the weights of a property by comparing its relative significance to the other properties when evaluating the importance of resources in a specific class. This approach stems from the idea that most queries are supposed to find resources belonging to the same class in the Semantic Web, which consists of many heterogeneous classes in RDF Schema. This approach closely reflects the way that people, in the real world, evaluate something, and will turn out to be superior to the predicate-oriented approach for the Semantic Web. Our proposed algorithm can resolve the TKC(Tightly Knit Community) effect, and further can shed lights on other limitations posed by the previous research. In addition, we propose two ways to incorporate data-type properties which have not been employed even in the case when they have some significance on the resource importance. We designed an experiment to show the effectiveness of our proposed algorithm and the validity of ranking results, which was not tried ever in previous research. We also conducted a comprehensive mathematical analysis, which was overlooked in previous research. The mathematical analysis enabled us to simplify the calculation procedure. Finally, we summarize our experimental results and discuss further research issues.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.109-122
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• 2014

People are nowadays creating a tremendous amount of data on Social Network Service (SNS). In particular, the incorporation of SNS into mobile devices has resulted in massive amounts of data generation, thereby greatly influencing society. This is an unmatched phenomenon in history, and now we live in the Age of Big Data. SNS Data is defined as a condition of Big Data where the amount of data (volume), data input and output speeds (velocity), and the variety of data types (variety) are satisfied. If someone intends to discover the trend of an issue in SNS Big Data, this information can be used as a new important source for the creation of new values because this information covers the whole of society. In this study, a Twitter Issue Tracking System (TITS) is designed and established to meet the needs of analyzing SNS Big Data. TITS extracts issues from Twitter texts and visualizes them on the web. The proposed system provides the following four functions: (1) Provide the topic keyword set that corresponds to daily ranking; (2) Visualize the daily time series graph of a topic for the duration of a month; (3) Provide the importance of a topic through a treemap based on the score system and frequency; (4) Visualize the daily time-series graph of keywords by searching the keyword; The present study analyzes the Big Data generated by SNS in real time. SNS Big Data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. In addition, such analysis requires the latest big data technology to process rapidly a large amount of real-time data, such as the Hadoop distributed system or NoSQL, which is an alternative to relational database. We built TITS based on Hadoop to optimize the processing of big data because Hadoop is designed to scale up from single node computing to thousands of machines. Furthermore, we use MongoDB, which is classified as a NoSQL database. In addition, MongoDB is an open source platform, document-oriented database that provides high performance, high availability, and automatic scaling. Unlike existing relational database, there are no schema or tables with MongoDB, and its most important goal is that of data accessibility and data processing performance. In the Age of Big Data, the visualization of Big Data is more attractive to the Big Data community because it helps analysts to examine such data easily and clearly. Therefore, TITS uses the d3.js library as a visualization tool. This library is designed for the purpose of creating Data Driven Documents that bind document object model (DOM) and any data; the interaction between data is easy and useful for managing real-time data stream with smooth animation. In addition, TITS uses a bootstrap made of pre-configured plug-in style sheets and JavaScript libraries to build a web system. The TITS Graphical User Interface (GUI) is designed using these libraries, and it is capable of detecting issues on Twitter in an easy and intuitive manner. The proposed work demonstrates the superiority of our issue detection techniques by matching detected issues with corresponding online news articles. The contributions of the present study are threefold. First, we suggest an alternative approach to real-time big data analysis, which has become an extremely important issue. Second, we apply a topic modeling technique that is used in various research areas, including Library and Information Science (LIS). Based on this, we can confirm the utility of storytelling and time series analysis. Third, we develop a web-based system, and make the system available for the real-time discovery of topics. The present study conducted experiments with nearly 150 million tweets in Korea during March 2013.

• Journal of Korean Theatre Studies Association
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• no.40
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• pp.163-206
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• 2010

Um die Jahrhundertwende des 20. Jahrhunderts besinnt sich Theater als ein Kunstwerk auf seine eigene $Realit{\ddot{a}}t$, $K{\ddot{o}}rper$, Raum und Zeit. Die Existenzweise des Theaterkunstwerks ist $Auff{\ddot{u}}hrung$. Die Kennzeichen der $Auff{\ddot{u}}hrung$ ist Transitorik, Unmittelbarkeit und Ereignishaftigkeit. $Auff{\ddot{u}}hrungsanalyse$ der Theaterwissenschaft als Disziplin wird lange Zeit $vernachl{\ddot{a}}ssigt$, weil $Auff{\ddot{u}}hrung$ ein Opfer der Zeit ist. Angesichts der $Auf{\ddot{u}}hrungsanalyse$ $mu{\ss}$ man eine Invariante zur $Verf{\ddot{u}}gung$ stellen, um einen Gegenstand zu analysieren. Die Inszenierung als ${\ddot{a}}sthetischer$ Gegenstand ist einmalig und unwiederbringlich. Das $B{\ddot{u}}hnengeschehen$ ist materielle $Realit{\ddot{a}}t$, die von dem Zuschauer sinnlich - optisch und akustisch - erfahren wird. Die Inszenierung realisiert sich in 'drei $B{\ddot{u}}hnengestalten$': 'Intendierte $B{\ddot{u}}hnengestalt$', 'realen $B{\ddot{u}}hnengestalt$' und 'vermeinte $B{\ddot{u}}hnengestalt$'. Die $Auff{\ddot{u}}hrung$ konkretisiert sich im Kopf des Zuschauers nicht als eine reale $B{\ddot{u}}hnengestalt$, sondern als ein '${\ddot{a}}sthetisches$ Objekt', 'als Abdruck der $B{\ddot{u}}hnenvorg{\ddot{a}}nge$'. Der Platz des $Auff{\ddot{u}}hrungsanalytikers$ ist der des Zuschauers, des Rezipienten. Die ${\ddot{a}}sthetische$ $B{\ddot{u}}hnengestalt$ ist eine Rekonstruktion der selektiven wahrgenommenden $Auff{\ddot{u}}hrung$, die der 'realen $B{\ddot{u}}hnengestalt$' ${\ddot{a}}hnelt$. Diese Rekonstruktion als neue $Sch{\ddot{o}}pfung$ des Rezipienten ist "Simulacrum", das der dem Objekt $hinzugef{\ddot{u}}gte$ Intellekt ist. Der Begriff der $Auff{\ddot{u}}hrungsanalyse$ wird Synonym $f{\ddot{u}}r$ die Interpretation als hermeneutischer $Proze{\ss}$. $F{\ddot{u}}r$ die Methode der $Auff{\ddot{u}}hrungsanalyse$ gibt es Strukturanalyse und Transformationsanalyse. Strukturanalyse geht $ausschlie{\ss}lich$ von der $Auff{\ddot{u}}hrung$ aus. Transformationsanalyse geht von der Transformation des Textes aus. $F{\ddot{u}}r$ diese Arbeit steht dramaturgische Analyse von Shakespeares Romeo und Julia als erste Grundlage. Die Handlungsentwicklung von Romeo und Julia ist klar in '$f{\ddot{u}}nf$ Akte' eingeteilt, die insgesamt aus 24 Szenen bestehen. Die Gesamthandlung von Romeo und Julia baut sich $pyramidenf{\ddot{o}}rmig$ nach dem Schema der steigenden und fallenden Handlung auf: Exposition/ Ausgangssituation (bis zur ersten Begegnung des Liebespaares auf dem Fest), erregendes Moment als Steigerung (von der Verliebtheit bis zur $Eheschlie{\ss}ung$), Wendepunkt/ Peripetie (Mercutios Tod), retardierendes Moment (Julias Scheintod) und Katastrophe (Vereinigung im Grabe). Die Handlung des $St{\ddot{u}}ckes$ gliedert sich in eine Haupt- und eine Nebenhandlung: dominierend ist die Liebeshandlung zwischen Romeo und Julia, daneben steht die Entwicklung der Fehde zwischen den Familien von Montague und Capulet; sie sind 'sich gegenseitig bedingend, steigernd, hemmend und vernichtend'. Parallelisierung und Kontrast der Figurenkonstellation werden in den jeweils sozial oder im Alter entsprechenden Figuren aus den beiden verfeindeten Familien gezeigt. Die Thematik des $St{\ddot{u}}ckes$ kommt in dem Oxymoron "loving hate" (I.1.175) zum Ausdruck. Shakespeare $l{\ddot{a}}sst$ die Liebeshandlung von Romeo und Julia in der Art der de casibus-$Trag{\ddot{o}}die$ spielen; deren Handlungsmuster ist 'dargestellt im Rad der Fortuna, das einen Menschen $emportr{\ddot{a}}gt$ und wieder $abst{\ddot{u}}rzen$ $l{\ddot{a}}sst$'. Das $St{\ddot{u}}ck$ Romeo und Julia ist eine experimentelle $Trag{\ddot{o}}die$. Es beginnt als $Kom{\ddot{o}}die$ mit $Z{\ddot{u}}gen$ einer Romanze, die sich aus dem Motiv der privaten Liebe und Heirat entwickelt. Pater Lorenzo und die Amme treten mit Lorenzos Wissen von der magischen Kraft der $Kr{\ddot{a}}uter$ und der $Geschw{\ddot{a}}tzigkeit$ der Amme $h{\ddot{a}}ufig$ in der $Kom{\ddot{o}}die$ auf. Die Handlung von Romeo und Julia erreicht mit Mercutios Tod den Wendepunkt, der die komische Welt zur tragischen umwandelt. $F{\ddot{u}}r$ die Sprache gibt es Prosa der Diener wie die Alltagssprache der einfachen Leute und zugleich Verse der Adeligen. Shakespeare verwendet eine kontrastreiche Metaphorik $f{\ddot{u}}r$ Raum und Zeit. Dreimal geschehen am Tag die $K{\ddot{a}}mpfe$ der verfeindeten Familien auf den ${\ddot{o}}ffentlichen$ $Pl{\ddot{a}}tzen$. Der Tag wirft ein Licht auf den Hass und die Gewalt. Die Nacht aber ist die $Sph{\ddot{a}}re$ der Liebe, wo Romeo und Julia ihre heimliche Verbindung verborgen halten $k{\ddot{o}}nnen$. Die Liebenden treffen sich in der Nacht und in dem ummauerten Raum. Oh, Tae-Suks "Romeo und Julia" wird in der Form des Madangguks gestaltet. Die Handlung in Oh, Tae- Suks Textfassung ist also nicht nach dem Prinzip der $Kausalit{\ddot{a}}t$ und Folgerichtigkeit zu lesen wie im Shakespeare-Drama. Wegen dem Ignorieren der $Kausalit{\ddot{a}}t$ des Handlungsablaufes und dem Fehlen der Motivation der Handlung ergibt sich hier keine individuelle psychologische Figurencharakterisierung. Die Figuren sind typisiert. Die koreanische Textfassung mit den extremen textlichen $Verk{\ddot{u}}rzungen$ und den zwei szenischen $Hinzuf{\ddot{u}}gungen$ $pr{\ddot{a}}gt$ die Inszenierung dahingehend, dass an die Stelle der Wortsprache mehr $K{\ddot{o}}rpersprache$ und szenische Bilder treten. Die langen Sprechpartien der Figuren im Shakespeare-Drama werden meistens $gek{\ddot{u}}rzt$ und $beschr{\ddot{a}}nken$ sich entweder auf Informationen ${\ddot{u}}ber$ die Situation oder zur Handlungsentwicklung. Und der Handlungsablauf erfolgt in Episoden sowie Musik, Lied und Tanz; Musik, Lied und Tanz dienen einerseits dem ${\ddot{U}}bergang$ der Szenen, sind aber andererseits auch selbst Teil des Handlungsablaufs. $W{\ddot{a}}hrend$ Shakespeare die Sprache der $W{\ddot{o}}rter$ in den Vordergrund $r{\ddot{u}}ckt$, $st{\ddot{u}}tzt$ Oh, Tae-Suk sich mehr auf die Sprache des $K{\ddot{o}}rpers$, die ja zugleich bildhaft ist. $Daf{\ddot{u}}r$ nimmt die Inszenierung Tanz und Lieder. Oh, Tae-Suks Inszenierung entwirft Shakespeares $Trag{\ddot{o}}die$ in der Form des Madangguks als Spiel und zugleich als erkennentnisorientiertes, nachdenkliches Theater $f{\ddot{u}}r$ den koreanischen Zuschauer, das dem traditionellen koreanischen Theater als Unterhaltungstheater nicht $m{\ddot{o}}glich$ ist, in dem sich das Volk von der Wirklichkeit erleichterte und sich $vergn{\ddot{u}}gte$. Oh, Tae-Suk formt das Publikum zum 'Wir' und zugleich zum 'Ich'. Mit dem Zusammensein der $v{\ddot{o}}llig$ andernen Theaterkulturen schafft der Reigisseur das hybride Theater und dadurch bildet $f{\ddot{u}}r$ die moderne koreanische Gesellschaft eine neue kulturelle $Identit{\ddot{a}}t$ heraus.