• Journal of the Korean earth science society
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• v.31 no.3
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• pp.288-299
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• 2010

Recently, scientific literacy means not only the acquisition of scientific knowledge but also the linguistic ability to participate in a scientific discourse community. Keeping this in mind, this study investigated middle school students' writings about phase transitions of water in air. Sixty seven students at 9th grade (age 15) students participated in this study and wrote two individual short texts. The result of text analysis can be summarized as follows: (1) students had problems with familiar scientific terms such as 'water vapor' and 'steam' as well as unfamiliar ones like 'dew point'. (2) Students described right semantic relations and at the same time wrong ones more in the idea formed from everyday experience than those from school instruction. (3) While students showed action and process centered writing in text about everyday phenomenon, they showed more preference for technical words and nouns in text about school science. This study suggest that students could develop linguistic ability of science from both spontaneous process based on experience and formal and theoretical learning; the former in forming various semantic relations, the latter in technical and abstract aspect of scientific writing.

• Journal of Korean Library and Information Science Society
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• v.47 no.2
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• pp.51-70
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• 2016

The purpose of this study is to analyze the semantic relation network and valence-arousal dimension through the words that describe emotions in Korean language. The results of this analysis are summarized as follows. Firstly, each emotion word was semantically linked in the network. This particular feature hinders differentiating various types of "emotion words" in accordance with similarity in meaning. Instead, central emotion words playing a central role in a network was identified. Secondly, many words are classified as two categories at the valence and arousal level: (1) negative of valence and high of arousal, (2) negative of valence and middle of arousal. This aspects of Korean emotional words would be useful to analyze emotions in various text data of books and document information.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.693-696
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• 2010

자연언어처리에서 어의 중의성 해소(word sense disambiguation)는 어휘의 의미를 정확하게 파악하는 기술로 기계번역, 정보검색과 같은 여러 응용 분야에서 중요한 역할을 한다. 본 논문에서는 한국어 어휘의미망(Korlex)을 이용한 비감독 어의 중의성 해소 방법을 제안한다. 의미미부착 말뭉치에서 추출한 통계 정보와 한국어 어휘의미망의 관계어 정보를 이용함으로써 자료 부족문제를 완화하였다. 또한, 중의성 어휘와 공기어휘 간의 거리 가중치, 의미별 사용 정보 가중치를 사용하여 언어적인 특징을 고려하여 본 논문의 기반이 되는 PNUWSD 시스템보다 성능을 향상하였다. 본 논문에서 제안하는 어의 중의성 해소 방법의 평가를 위해 SENSEVAL-2 한국어 데이터를 이용하였다. 중의성 어휘의 의미별 관계어와 지역 문맥 내 공기어휘 간의 카이제곱을 이용하였을 때 68.1%의 정확도를 보였고, 중의성 어휘와 공기어휘 간의 거리 가중치와 의미별 사용 정보 가중치를 사용하였을 때 76.9% 정확도를 보여 기존의 방법보다 정확도를 향상하였다.

• Annual Conference on Human and Language Technology
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• 1994.11a
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• pp.326-332
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• 1994

본 연구에서는 중사전 규모의 현대국어사전에서 약 5,000 개의 표제항목의 뜻풀이 8,000여 항에 사용된 어휘를 분석한 결과를 제시하였다. 분석 결과 명사류의 의미구조에서 최상위계층에 속하는 것들이 사전의 뜻풀이에 자주 사용됨을 확인할 수 있었고, 아울러 뜻풀이에 사용되는 단어들이 어느 정도 통제된 상태임을 알 수 있었다. 그러나 표제항목과 뜻풀이에 사용된 단어들 사이의 관계만을 바탕으로 해서는 의미망을 구축하기 어려웠는데, 그것은 국어사전에서의 뜻풀이가 지니고 있는 구조적 문제에서 기인하는 것이다. 즉 일부 한자어의 경우에는 명사로 정의되지 않으며, 그 결과 표제명사와 뜻풀이에 사용된 명사 사이의 관계를 바탕으로 한 의미망의 구축에 포함되지 않는 것이다. 또한 순환적 뜻풀이의 경우 역시 의미망 구축에 장애요소로 작용함을 밝혔다.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.189-194
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• 2021

자연어 추론은 두 문장 사이의 의미 관계를 분류하는 작업이다. 본 논문에서 제안하는 의미 추론 방법은 의존 구문 분석을 사용하여 동일한 구문 정보나 기능 정보를 가진 두 개의 (피지배소, 지배소) 어절 쌍에서 하나의 어절이 겹칠 때 두 피지배소를 하나의 청크로 만들어주고 청크 기준으로 만들어진 의존 구문 분석을 사용하여 자연어 추론 작업을 수행하는 방법을 의미한다. 이러한 의미 추론 방법을 통해 만들어진 청크와 구문 구조 정보를 Biaffine Attention을 사용하여 한 문장에 대한 청크 단위의 구문 구조 정보를 반영하고 구문 구조 정보가 반영된 두 문장을 Bilinear을 통해 관계를 예측하는 시스템을 제안한다. 실험 결과 정확도 90.78%로 가장 높은 성능을 보였다.

• Journal of Information Management
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• v.39 no.4
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• pp.121-154
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• 2008

In this paper, a ontology-based keyword structuring method is proposed to represent the knowledge structure of scholarly documents and to make inferences from the semantic relationships holding among them. The characteristics of thesaurus as a knowledge organization system(KOS) for subject heading is critically reviewed from the information retrieval point of view. The domain concepts are identified and classified by analysis of the information activities occurring in a general research process based on scholarly sensemaking model. The ontological structure of keyword set is defined in terms of the semantic relationship of the canonical concepts which constitute scholarly documents such as journal articles. As a result, each ontologically structured keyword set of a document represents the knowledge structure of the corresponding document as semantic index. By means of the axioms and inference rules defined for information needs, users can efficiently explore the scholarly communication network built on the semantic relationship among documents in an analytic way based on the scholarly sensemaking model in oder to efficiently retrieve the relevant information for problem solving.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.253-261
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• 2020

The purpose of this study was to investigate the mediation effects of self-esteem on the relationship between meaning in life and resilience in middle-aged adults. The data were collected from May to June 2019 by giving a questionnaire to 148 middle-aged adults between the ages of 45-64 years. The research tools were meaning in life, self-esteem, and resilience. The data were analyzed with descriptive statistics, t-test, one-way ANOVA, Pearson's correlation coefficients, and multiple linear regression using the SPSS/WIN 21.0 program. The result showed that the difference in resilience relating to general characteristics were significant age, religion, and health. There were significant positive correlations among meaning in life, self-esteem, and resilience. Self-esteem had a mediating effect on the relationship between meaning in life and resilience. Based on the findings of this study, in order to strengthen the resilience of middle-aged adults, it is necessary to develop a program that promotes self-esteem as well as meaning in life. This will help them have a healthy middle age and improve their quality of life.

• The Journal of Society for e-Business Studies
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• v.9 no.3
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• pp.243-258
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• 2004

Building a domain-suited ontology, as a means to implement the Semantic Web, is widely believed to offer users the benefit of exploiting the semantic knowledge constrained in the application. Electronic Catalog, shortly e-Catalog, manages the information about the goods or conditions play an important role in e-commerce domain. Consequently, semantically enriched yet precise information by the ontology may elaborate the business transactions. In this paper, we analyze the semantic relationships embodied within the catalog domain, as the first step towards the ontological modeling of e-catalog. Exploring ontology should leverage not only the representation of semantic knowledge but also provide the inferencing capability for the model. We employ the EER(extended Entity Relationships) for the basic model. Each modeling construct can be directly translated by DL(Description Logics). Semantic constraints that can be hardly represented in EER are directly modeled in DL.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.155-162
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• 2018

This study explores the relationship between images and texts through advertising production using images and texts, and analyzes the student works with the semiotics of Roland Barth. Since Barth emphasized the interpreter's interpretation rather than the producer's intention in his work, he interpreted the work as a receiver. It was analyzed in terms of socio-cultural meaning of what students produced in the works. A total of 64 classes were held for the first two classes in D high school. The results of analyzing students' works after the advertisement production class are as follows. First, as a result of analyzing Barth 's myth structure model, advertisement image and text are symbols and have meaning. Second, advertising image and text complement each other and have the characteristic of interrelationship that constitutes meaning. Third, By attracting the socio-cultural implications inherent in the students' advertising, their values and interests could be discovered.

• The KIPS Transactions:PartB
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• v.11B no.4
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• pp.491-500
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• 2004

This paper presents an ontology construction method using various computational language resources, and an ontology-based word sense disambiguation method. In order to acquire a reasonably practical ontology the Kadokawa thesaurus is extended by inserting additional semantic relations into its hierarchy, which are classified as case relations and other semantic relations. To apply the ontology to disambiguate word senses, we apply the previously-secured dictionary information to select the correct senses of some ambiguous words with high precision, and then use the ontology to disambiguate the remaining ambiguous words. The mutual information between concepts in the ontology was calculated before using the ontology as knowledge for disambiguating word senses. If mutual information is regarded as a weight between ontology concepts, the ontology can be treated as a graph with weighted edges, and then we locate the weighted path from one concept to the other concept. In our practical machine translation system, our word sense disambiguation method achieved a 9% improvement over methods which do not use ontology for Korean translation.