• Journal of KIISE:Software and Applications
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• v.31 no.3
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• pp.353-360
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• 2004

Ontology defines the terms used in a specific domain and the relationships between them and represents them as hierarchical taxonomy. The present paper proposes a semi-automatic domain-specific ontology construction method based on terminology Processing. For this purpose, it presents an algorithm to extract terminology according to the noun/suffix pattern of terminology in domain texts and find their hierarchical structure. The experiment was carried out using pharmacy-related documents. As singleton terminology with noun/suffix were identified, the average accuracy was 92.57%. In case of multi-word terminology, the average accuracy was 66.64%. The constructed ontology forms natural semantic clusters with based on suffices and semantic information, so can be utilized in approaches to specific knowledge such as information look-up or as the base of inference to improve searching abilities.

• Journal of KIISE:Databases
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• v.27 no.1
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• pp.90-100
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• 2000

We propose, in this paper, a new query expansion technique with term reweighting. All terms in the documents feedbacked from a user, excluding stopwords, are selected as candidate terms for query expansion and reweighted using the relevance degree which is calculated from the term-distribution similarity between a candidate term and each term in initial query. The term-distribution similarity of two terms is a measure on how similar their occurrence distributions in relevant documents are. The terms to be actually expanded are selected using the relevance degree and combined with initial query to construct an expanded query. We use KT-set 1.0 and KT-set 2.0 to evaluate performance and compare our method with two methods, one with no relevance feedback and the other with Dec-Hi method which is similar to our method. based on recall and precision.

• Journal of Radiation Protection and Research
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• v.18 no.1
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• pp.1-7
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• 1993

In its recent recommendation No. 60(1990), ICRP has newly introduced several terminology which had not existed in its prior recommendation No. 26(1977). Of these, a newly defined quantity 'Equivalent Dose' replacing the 'Dose Equivalent' of the ICRU concept has been recommended to be adopted in the radiation protection programme. However, since the committee still uses the 'Dose Equivalent' and 'Equivalent Dose' in its several publications, it is likely to provoke unnecessary confusions and misuses in applying these two quantities. In this paper were described the definition and difference between these two quantities to help in understanding of these two quantitites among the person involved in the radiation protection activities.

• Journal of Korean Library and Information Science Society
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• v.41 no.2
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• pp.61-80
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• 2010

The purpose of this paper is deriving philosophical foundations of information services by clarifying its concepts and attributes. Clarifying its concepts and attributes is based on the origin of the term information services, definitions and contents, historical and social perspectives. The theory of information services was reorganized by logically demonstrating that the term "information services" is most suitable name to represent its essence, attributes, and activities. The philosophy of information services has the key elements as instruction, information, guidance, and service in humanistic aspects which have been shown consistently in the origin of the term, definitions, historical and social perspectives. This paper tried to establish philosophical basis for information services that is focused on these elements.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.397-405
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• 2019

This study was conducted to analyze the research trends of 87 published studies in domestic journals on resilience of nursing students and propose some directions for future research. The main findings are as follows; First, the concepts of resilience were used in 6 different ways. Second, the number of quantitative research was overwhelmingly bigger(99%) than the ones of the qualitative and mixed research. Third, the protective, risk and changing factors were found in most studies around individual and university level. Throughout this study, it is confirmed that resilience is a very important factor that play a significant role in nursing students' adaptation. But it is required to clarify the concept of resilience and choose appropriate measurement scale. Also it is needed to conduct research with various designs in the future.

• Communications of Mathematical Education
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• v.8
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• pp.77-89
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• 1999

“초등학교 수학의 주된 목표는 수 감각 개발이 되어야 한다” 는 Everybody Counts (1989)의 진술에서 알 수 있듯 수 감각은 최근 그 중요성이 강조되고 있으며, 수학교육의 목표와 내용을 대표하는 용어가 되고 있다. 이는 지금까지 교실에서 이루어진 연산 중심수업에 대한 반성이고, 의미 부여 학습을 강조하는 현재 진행중인 교육과정 개혁 움직임에서 쉽게 찾아 볼 수 있다. 그러나 아직 수 감각이라는 용어에 대한 명확한 정의가 내려져 있지 않을뿐더러 그 하위 구성요소를 분류하는데도 문헌마다 서로 일치하지 않는다. 따라서 본 연구에서는 문헌에 나타난 수 감각의 정의와 그 하위 구성요소들을 고찰해 보고, 아동들에게 수 감각을 길러주기 위한 수학 학습에 대해 알아본다.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.84-89
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• 2006

Keeping pace with the speed of development of science & technology domain, the domain terms continuously repeat the step of creation and extinction. This study tries to define term life cycle and analyze extracted terms from a large corpus with the viewpoint. We chose 'ETNEWS' corpus which includes about 17 million Eojeols for 12 years because it is easy to inspect the transition of term life cycle and the corpus represents computer, IT, and electrotechnology domains. This study acquired several useful conclusions including the relation between specificity and life of terms. We expect that term life cycle will contribute to analyze the competition of similar technologies and determine which term be registered into general dictionary.

• Journal of the Korean Society for information Management
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• v.23 no.3 s.61
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• pp.147-165
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• 2006

In this study, experiments for selection of association terms were conducted in order to discover the optimum method in selecting additional terms that are related to an initial query term. Association term sets were generated by using support, confidence, and lift measures of the Apriori algorithm, and also by using the similarity measures such as GSS, Jaccard coefficient, cosine coefficient, and Sokal & Sneath 5, and mutual information. In performance evaluation of term selection methods, precision of association terms as well as the overlap ratio of association terms and relevant documents' indexing terms were used. It was found that Apriori algorithm and GSS achieved the highest level of performances.

• Journal of the Korean earth science society
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• v.27 no.1
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• pp.15-19
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• 2006

In this study, the meteorology terms in the geography text books of North Korea which includes all of the meteorology educational contents in secondary school curriculum are compared with those in the earth science text books in South Korea. Forty science terms which are the same meaning but composed of different words are picked up to investigate the degree for 89 high school students in Chonnam province to perceive the meanings correctly. High school students' perceptions is on the average 30% higher in terminology of South Korea textbooks than in those of North Korea. But, students' perceptions on 9 North Korean terms is rather higher compared to South Korean terms. Twenty six (83.9%) terms which are difficult for high school students to perceive correct meanings are those lately composed of North Korean native words. Most of meteorology terms in South Korean textbooks are derived from the Chinese characters or imported from foreign language terms are easier for high school students to perceive correct meanings than those of North Korean terms derived from North Korean native language.

• Journal of the Korean Society for information Management
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• v.29 no.2
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• pp.205-224
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• 2012

One of the limitations of BOW method is that each term is recognized only by its form, failing to represent the term's meaning or thematic background. To overcome the limitation, different profiles for each term were defined by thematic categories depending on contextual characteristics. In this study, a specific term was used as a classification feature based on its meaning or thematic background through the process of comparing the context in those profiles with the occurrences in an actual document. The experiment was conducted in three phases; term weighting, ensemble classifier implementation, and feature selection. The classification performance was enhanced in all the phases with the ensemble classifier showing the highest performance score. Also, the outcome showed that the proposed method was effective in reducing the performance bias caused by the total number of learning documents.