• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.508-510
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• 2005

Plot Unit는 이야기를 형성하는 줄거리 또는 줄거리에 나오는 여러 사건을 하나로 구성하여 표현한다. 글을 읽고 Plot Unit를 파악한다는 것은 그 글의 내용을 이해하고 있다는 것이다. 본 논문에서는 이러한 Plot Unit의 정서상태 선호도를 결정하는 방법으로 범주 재분류를 생각하였다. Roget 범주들을 양, 음 기준에 따라서 양범주, 음범주, 중성범주로 재분류하였다. 또한, 개연규칙과 Plot Unit의 대응에 이 결과를 적용해 봄으로써, 범주 재분류를 활용하여 Plot Unit의 사건유형을 결정할 수 있음을 확인하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11a
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• pp.401-404
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• 2002

본 논문에서는 온톨로지의 범주를 재분류하는 방안을 모색하였다. 재분류 방법으로는 범주정보 단순화와 구체화를 고안하였다. 각각은 다시 표제정보와 참조정보를 이용한 방법으로 나누어 생각하였다. 또한 상이한 범주집합들 사이의 관계를 밝히는 방법도 모색하였다. 마지막으로 이러한 방법들을 활용한 예를 동해 그 유용성을 살펴보았다.

• The KIPS Transactions:PartB
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• v.12B no.1 s.97
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• pp.69-80
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• 2005

This paper introduces a methodology of transforming an existing ontology into the one that satisfies its application. The transformation consists of simplification and realization of word category information. They are based on category headings and base categories. Furthermore, this paper describes a method by which we can identify relationships between category sets. Through the transformation, (1) Roget's thesaurus is reorganized into 7 categories and the base of 'Ontology for Narrative'[32], (2) 22 immersion factors of multimedia games can be subdivided into 207 factors in [35], and (3) the relationships between 10 mental factors and 22 immersion factors of multimedia games are identified in [36].

• Journal of the Korean Society for information Management
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• v.29 no.2
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• pp.225-246
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• 2012

This study purported to investigate the possibility of automatic descriptor assignment using the reclassification of author keywords in domestic scholarly databases. In the first stage, we selected optimal classifiers and parameters for the reclassification by comparing the characteristics of machine learning classifiers. In the next stage, learning the author keywords that were assigned to the selected articles on readings, the author keywords were automatically added to another set of relevant articles. We examined whether the author keyword reclassifications had the effect of vocabulary control just as descriptors collocate the documents on the same topic. The results showed the author keyword reclassification had the capability of the automatic descriptor assignment.

• Fire Science and Engineering
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• v.28 no.2
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• pp.91-97
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• 2014

New types of fire accidents appear or the existing types disappeared because of rapidly changing society. We proposed a methodology of extracting new nouns from fire investigation data each of which is an accident report producted by fire investigators. The new nouns could be used in modifying the existing categories for classifying fire accidents. We analysed morphology of the product names and the ignition summaries using the proposed method for the fire accidents classified as the etc sub-category of the category of equipments involved in ignition. In this paper, we found "dryer" as a new sub-category of the agricultural equipment category and "boiler" in the seasonal appliance category from the product names of the fire accidents. We also extracted the new input keywords of "aquarium" and "monitor" in the commercial facilities category and the video, audio apparatus category from the ignition summaries respectively. Using the four subcategories, we reclassified 548 (14.39%) of 3,808 fire accidents assigned to the etc sub-category.

• Journal of the Korean Society for information Management
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• v.23 no.4 s.62
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• pp.277-294
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• 2006

This paper examines a level of categorization performance in a real-life collection of abstract articles in the fields of science and technology, and tests the optimal size of documents per category in a training set using a kNN classifier. The corpus is built by choosing categories that hold more than 2,556 documents first, and then 2,556 documents per category are randomly selected. It is further divided into eight subsets of different size of training documents : each set is randomly selected to build training documents ranging from 20 documents (Tr-20) to 2,000 documents (Tr-2000) per category. The categorization performances of the 8 subsets are compared. The average performance of the eight subsets is 30% in $F_1$ measure which is relatively poor compared to the findings of previous studies. The experimental results suggest that among the eight subsets the Tr-100 appears to be the most optimal size for training a km classifier In addition, the correctness of subject categories assigned to the training sets is probed by manually reclassifying the training sets in order to support the above conclusion by establishing a relation between and the correctness and categorization performance.

• The Korean Journal of Applied Statistics
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• v.14 no.1
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• pp.39-57
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• 2001

Categorical data has sometimes misclassification errors. If this data will be analyzed, then estimated cell probabilities could be biased and the standard Pearson X2 tests may have inflated true type I error rates. On the other hand, if we regard wellclassified data with misclassified one, then we might spend lots of cost and time on adjustment of misclassification. It is a necessary and important step to ask whether categorical data is misclassified before analyzing data. In this paper, when data is misclassified at one of two variables for two-dimensional contingency table and marginal sums of a well-classified variable are fixed. We explore to partition marginal sums into each cells via the concepts of Bound and Collapse of Sebastiani and Ramoni (1997). The double sampling scheme (Tenenbein 1970) is used to obtain informations of misclassification. We propose test statistics in order to solve misclassification problems and examine behaviors of the statistics by simulation studies.

• Korean Journal of Cognitive Science
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• v.15 no.3
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• pp.45-55
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• 2004

Immersion means the state of total devotion to what one is involved in. The typical form of this immersion experience happens when one is engaging in computer games. We analyze how the users became immersed in computer games. There are 22 elements of immersion involved in cognitive and emotional fun based cm the flow theory. After analyzing these elements with respect to flow dimension and game mechanics, we find that there are differences in the degree of their immersion in games. There are 7 elements that may be considered preferentially in designing computer games: unity, stimulation, gambling, virtual reality, fantasy, satisfaction accomplishment. We match these elements to Roget's categories and search for new categories with heading information and reference information. As a result 22 immersion elements are subdivided into 229 factors in the concrete. With these factors, we can design a multimedia game which has mon powerful immersion.

• Annual Conference on Human and Language Technology
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• 2004.10d
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• pp.259-263
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• 2004

본 연구는 머리어-후행언어(head-final language)로 분류되는 한국어의 통사 및 의미 처리 과정의 언어간(cross linguistic) 일반성과 언어내(intra-language) 특이성을 ERP(event- related potentials) 실험결과를 통해 알아보고자 하였다. 한국어 문장처리 과정에서의 통사 및 의미 처리특성은, 우선 이들을 지표하는 각각의 오류문을 통해 P600과 N400 이라는 언어일반의 처리과정을 보이면서도 각 성분의 영역분포는 오류가 출현된 위치에 따라 분기하고 있음을 관찰할 수 있었다. 곧, 문미위치의 술어오류에서 중심-두정 부위의 활성화 우세로 각 오류간 영역분화를 보이는 패턴을 새롭게 확인하였다. 이로써 오류의 유형별 재분류과정으로 드러난 오류출현 위치가 오류의 유형 내에 영향을 끼치는 한 변수가 될 수 있으며. 이는 이들 보어 및 술어를 구성하는 고유의 범주 특성으로 해석할 수 있는 근거가 될 수 있음도 아울러 확인하였다.

• International Commerce and Information Review
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• v.19 no.2
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• pp.237-258
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• 2017

This research thoroughly analyzes prior literature related to the flexibility of cargo airlines to switch the airport and discusses the driving factors of such footloose nature. The main purpose of the study is to identify the most deterrent factors leading to airport relocation decision which determines cargo industries role on the global trade. Qualitative research based on systematic process analysis was conducted as a main research method. As a result, 24 factors related to airport-airline relationship were chosen and categorized into four main groups; (1) Location issues, (2) Restrictions, (3) Poor quality, and (4) High costs. The findings derived from the analysis of selected studies suggest that restriction related issues (e.g. night-time flight restrictions, customs administration) followed by location issues (e.g. absence of origin destination demand) have created more constraint to airport-airline relationship.