• Journal of the Economic Geographical Society of Korea
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• v.13 no.2
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• pp.159-180
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• 2010

Research on regional innovation has recently emphasized the significance and necessities of global networks. However, theoretical arguments have not provided the answers for how global networks are actually formed and work, and the related discussions have not been cohesive while introducing separate concepts originated from diverse disciplines without connecting them with each other. This paper intends to critically review theoretical concepts on spatialities of regional innovation networks and demonstrate limits of each concept, arguing that a synthetic perspective is necessary for understanding how global innovation networks work. The author introduces, specifically, the concept of transnational ethnic communities, which has been recently given much attention to investigate global innovation networks, and provide its theoretical and policy implications.

• Korean journal of communication and information
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• v.61
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• pp.118-133
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• 2013

Lee Yeung-Hi is one of the most influential journalist in the modern history of Korea. Nevertheless, the judgement about him has been parallelized by opposite sides. He is called 'the Master of ideology', while the other calls him 'the culprit of theorization'. This thesis deduced the contemporary meaning of person Lee Yeung-Hi in order to promote communication for both sides. I compared their logical arguments and pointed out the error they missed. Also, I clarified that the criticism and anticriticism for Lee Young-Hi in the fields of both journalism and academia have fallacies, such as the fallacy of straw man, and the fallacy of question-begging. I criticized their arguments through the view of 'struggling to seek truth', which is the core value of Lee Yeung-Hi's thought. The necessity of communication between advocators and it's critics is due to the condition of Korean Journalism. Korean Journalism does not have much space to accept Lee Young-Hi in only one side. Paradoxically, the contemporary meaning of the truth that Journalist Lee Young-Hi had sought is profound and deep because of the condition where Korean Journalism is being dominated by political parallelism.

• Journal of KIISE
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• v.43 no.12
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• pp.1376-1384
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• 2016

Computers require analytic and processing capability for all possibilities of human expression in order to process sentences like human beings. Linguistic information processing thus forms the initial basis. When analyzing a sentence syntactically, it is necessary to divide the sentence into components, find obligatory arguments focusing on predicates, identify the sentence core, and understand semantic relations between the arguments and predicates. In this study, the method applied a case frame dictionary based on The Korean Standard Dictionary of The National Institute of the Korean Language; in addition, we used a CRF Model that constructed subcategorization of predicates as featured in Korean Lexical Semantic Network (UWordMap) for semantic role labeling. Automatically tagged semantic roles based on the CRF model, which established the information of words, predicates, the case-frame dictionary and hypernyms of words as features, were used. This method demonstrated higher performance in comparison with the existing method, with accuracy rate of 83.13% as compared to 81.2%, respectively.

• Journal of the Korean Geographical Society
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• v.36 no.3
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• pp.292-312
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• 2001

The ecological crisis today can be seen as a result of modernity which has been developed on the Cartesian dualism of subject/object, and of human being/nature, and thereby has huts objectified and subjugated nature through science and technology New environmental ethics hence should be developed urgently against modernity and to overcome the present ecological crisis. This paper aims to consider some implications for ecology and environmental ethics in the post-structurists'arguments struggling against modernity to formulate new frameworks of discourse and politics, and to examine a possibility to theorize environmental justice on the basis of postmodem ecology. For this purpose, this paper first looks on ecological arguments and implications for environmental ethics in post-structuralism, then tries to gain prominent ecological insights, focusing on ethology and 'rhizomatic naturalism'in the philosophy of Deleuze, and finally interprets both bioregionalism as a theory of 'difference' from postmodern point of view and Deleuze's ecology in terms of symbiosis and difference, in order to conceptualize environmental justice.

• Journal of the Korean Society of Costume
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• v.64 no.1
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• pp.152-164
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• 2014

Korean people have revered the white color and enjoyed wearing white clothes. Various kinds of white clothes have been worn by the Korean people, ranging from everyday wear(便服), and scholar's robe(深衣) for the upper class, to religious costumes like Buddhist monk's robe(僧服), shaman costumes(巫服) and costumes for ancestral rites(祭服), or mourning(喪服). There have been many differing opinions by historians regarding the background of this Baekeuihosang(白衣好尙, the preference for white clothing) tradition and even now, it is frequently being discussed. This study aims to consider and discuss the background of this Baekeuihosang tradition, focusing on Chang-seon Yoo's Baekeuigo(白衣考, the consideration of white clothing), which was published in Dong-A Ilbo in 1934. The purposes of studying literature such as the Baekeuigo is to analyze the arguments on the origin of Baekeuihosang, to analyze Chang-seon Yoo's claim of its origin, and to discuss the culture of Baekeuihosang. Chang-seon Yoo claimed that the existing discussions on the background of Baekeuihosang based on the lack of dyes, or undeveloped technique, economic privation and national control strayed from historical facts, according to literature review. It is not worth discussing the farfetched arguments such as the use of costumes for ancestral rites as everyday wears, or the nation of sorrow. Baekeuihosang tradition mostly originated from the effects of many religions and the taste for innocence, or naturalness. White clothes were infused with the sorrow and emotion of Korean people and were also worn to show resistance to foreign power as symbols of ethnicity. Therefore, there should be a new view of the discussion of white clothes and Korean aesthetic sense, away from the logic distorted by the Japanese colonial view of history.

• Journal of the Korean Society of Earth Science Education
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• v.10 no.2
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• pp.161-172
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• 2017

The purpose of this study is to characterize students' conceptions on causes of the phases of the moon. For this purpose, students were given a worksheet for argumentative writing activity where in they need to choose the right answer between five statements and provide reasonable evidences about causes of the phases of the moon. Written arguments collected were used as analysis data and TAP(Toulmin's argument pattern) including conceptual analysis of TAP elements were utilized to figure out logical structures and subordinate conceptions. The result showed that students had various alternative concepts about causes of the phases of the moon and associated with celestial. Also 70.5% of subjects had incomplete argument structures, and error types of concepts had difference according to types of alternative concepts as well as TAP. These results mean that importance of checking students' preconceptions, need of scientific argumentation, and appropriate instructional strategies considering alternative conception types and fallacy types that students had.

• Korean Journal of Cognitive Science
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• v.1 no.2
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• pp.175-192
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• 1989

The main problems of artificial intelligence (AI)which are vividly being discussed today are not only scientific but also involve serious philosophical dimension.The purpose of this paper is to analyze the computer scientist's definitions of AI and by this method uncober and examine the controversial arguments and problems.The result is to clarify the meaning of AI-research program. It can be said that we can clssify the definitions of AI in various types according to the interest and purpose of AI-reasearchers or the strength of their arguments.But this leaves much to be considered.We have also to consider and analyze the following related problems: Understanding how we grasp human intelligence,what relations there are between intelligence and the brain,and what the logical structure of simulating and copying is with the computer. In this respect,the key problem in AI-research is not the matter of it's use and experience such as computer technonolgy,rather it is the philosophical problem of the a priori such as logic,analysis of the concept.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.5
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• pp.531-540
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• 2010

In this paper, we present a two-phase shallow semantic parsing method based on a maximum entropy model. The first phase is to recognize semantic arguments, i.e., argument identification. The second phase is to assign appropriate semantic roles to the recognized arguments, i.e., argument classification. Here, the performance of the first phase is crucial for the success of the entire system, because the second phase is performed on the regions recognized at the identification stage. In order to improve performances of the argument identification, we incorporate syntactic knowledge into its pre-processing step. More precisely, boundaries of the immediate clause and the upper clauses of a predicate obtained from clause identification are utilized for reducing the search space. Further, the distance on parse trees from the parent node of a predicate to the parent node of a parse constituent is exploited. Experimental results show that incorporation of syntactic knowledge and the separation of argument identification from the entire procedure enhance performances of the shallow semantic parsing system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.11
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• pp.2341-2348
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• 2009

An intrusion detection technique based on host consider system call sequence or system call arguments. These two ways are suitable when system call sequence or order and length of system call arguments are out of order. However, there are two disadvantages which a false positive rate and a false negative rate are high. In this paper we propose the T-N2SCD detection model based on Time Window in order to reduce false positive rate and false negative rate. Data for using this experiment is provided from DARPA. As experimental results, the proposed model showed that the false positive rate and the false negative rate are lowest at an interval of 1000ms than at different intervals.

• Journal of Information Processing Systems
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• v.7 no.3
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• pp.459-472
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• 2011

The vast number of biomedical literature is an important source of biomedical interaction information discovery. However, it is complicated to obtain interaction information from them because most of them are not easily readable by machine. In this paper, we present a method for extracting biomedical interaction information assuming that the biomedical Named Entities (NEs) are already identified. The proposed method labels all possible pairs of given biomedical NEs as INTERACTION or NO-INTERACTION by using a Maximum Entropy (ME) classifier. The features used for the classifier are obtained by applying various NLP techniques such as POS tagging, base phrase recognition, parsing and predicate-argument recognition. Especially, specific verb predicates (activate, inhibit, diminish and etc.) and their biomedical NE arguments are very useful features for identifying interactive NE pairs. Based on this, we devised a twostep method: 1) an interaction verb extraction step to find biomedically salient verbs, and 2) an argument relation identification step to generate partial predicate-argument structures between extracted interaction verbs and their NE arguments. In the experiments, we analyzed how much each applied NLP technique improves the performance. The proposed method can be completely improved by more than 2% compared to the baseline method. The use of external contextual features, which are obtained from outside of NEs, is crucial for the performance improvement. We also compare the performance of the proposed method against the co-occurrence-based and the rule-based methods. The result demonstrates that the proposed method considerably improves the performance.