• Cartoon and Animation Studies
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• s.33
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• pp.79-97
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• 2013

Animation is the aggregate of signs based on narrative. Algirdas Julien Greimas made structuralist frame and analyzed the meaning with it. Greimas's semiotics among the animated characters appearing in the conflict structure is suitable for the analysis and figure out the structure and meaning of the conflict which is hidden. Because Greimas Semiotic Square is suitable for apprehending meaning structure, it help for us to identify between characters and meaning that from character. Actantial Model help to apprehend power relations in structure between characters by axis of desire. This study search Greimas's semiotics and based on this analyse animation, . Also this study analyse conflicts between protagonist and antagonist with Greimas Semiotic Square after analysing narrative of like Vladimir Proof's folktale analysis. Unlike the protagonist's internal conflict, the antagonist's internal conflict moves the audience's emotions. Finally, this study analyse animation in the synchronic structure with the Actantial Model.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.6
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• pp.97-103
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• 2017

For high quality of software, it should be necessary for defining and analyzing the exact requirements at the early stage of software development. But readability and understandability of most natural language requirements are inaccurate and difficult for identifying use cases. The requirements are duplicated for objects or temrs with the same meaning. To solve this problem, it should need an effective way of requirement analysis based on linguistic and semantic textual analysis. In this paper, we propose to improve a semantic analysis method adopted with a linguist Fillmore's linguistic mechanism. This method may expect to analyze easily readable and exactly understandable requirements specifications through modeling the goal oriented use cases with natural language based requirements.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.8
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• pp.1049-1054
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• 2018

Keyword searching used in the past as a method of finding similar patents, and automated classification by machine learning is using in recently. Keyword searching is a method of analyzing data that is formalized through data refinement. While the accuracy for short text is high, long one consisted of several words like as document that is not able to analyze the meaning contained in sentences. In semantic analysis level, the method of automatic classification is used to classify sentences composed of several words by unstructured data analysis. There was an attempt to find similar documents by combining the two methods. However, it have a problem in the algorithm w the methods of analysis are different ways to use simultaneous unstructured data and regular data. In this paper, we study the method of extracting keywords implied in the document and using the LDA(Latent Semantic Analysis) method to classify documents efficiently without human intervention and finding similar patents.

• Journal of Science Education
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• v.48 no.1
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• pp.63-73
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• 2024

Knowing the learner's image of a subject-related occupation is good data for determining the direction of a teacher's teaching and learning. Existing drawing image analysis tools have the limitation that it takes a long time to analyze images and drawings of a scientist's appearance. The semantic differential method is a widely used method to analyze images of specific objects. However, research using the semantic differential method has the limitation of failing to reflect terms or factors that change over time by using the adjective pairs used in the initial study as they were in accordance with the research content. In this study, we use the semantic differential method to develop a tool to measure middle school students' scientist image and apply it to middle school students to discuss educational implications regarding the usefulness of measuring scientist image.

• Journal of the Korea Society of Computer and Information
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• v.17 no.3
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• pp.143-155
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• 2012

This study explored the essential meanings of experiences that married immigrant women living in rural communities have in their community participation process and analyzed the situations and types of their community participation in order to support immigration women's community participation and develop strategies for social welfare by type of community participation. For these purpose, we analyzed story outlines, meanings, types and situations of community participation among married immigrant women who had been over 5 years since their immigration. According to the results of this study, the meaning of married immigrant women's community participation was "Recognize myself as the pioneer of my life and participate in social activities continuously." In the results of analyzing the types of participation, the subjects were classified into 'self directed growth type,' 'self content type,' and 'social support expectation type.' The results of this study are expected to be helpful to understand the life of married immigrant women in rural areas not as 'individuals' otherized in a foreign country but as 'participants' of community that are encountered naturally in daily life, and to develop community level services suitable for such women.

• Journal of the Korean Society for information Management
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• v.28 no.1
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• pp.145-170
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• 2011

The purpose of this paper is to suggest a pilot model of knowledge organizing system which reflects the knowledge structure of research papers, using a case analysis on the "Korean Research Memory" of the National Research Foundation of Korea. In this paper, knowledge structure of the research papers in humanities and social science is described and the function of the "Korean Research Memory" for scholarly sense-making is analysed. In order to suggest the pilot model of the knowledge organizing system, the study also analysed the relation between indexed keyword and knowledge structure of research papers in the Korean Research Memory. As a result, this paper suggests 24 axioms and 11 inference rules for an ontology based on semantic relation of the knowledge structure.

• Journal of the Korean Chemical Society
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• v.67 no.5
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• pp.362-377
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• 2023

The purpose of this study was to investigate the effect of semantic mapping as a science text reading strategy on high school students' inferential understanding. For this purpose, eight science text reading classes were conducted a reading strategy using semantic mapping for 46 students in two science-focused classes in the third grade of a high school. To investigate the effects of semantic mapping reading strategy on students' inferential comprehension, students' pre- and post-reading ability tests results were analyzed. In order to find out the change in inferential comprehension, the level of the inferential comprehension was analyzed using the analysis framework for developed in this study. For the classification of inferential comprehension, the levels of the inferential comprehension were converted into scores. The results of the analysis of changes in students' inferential comprehension showed that semantic mapping reading strategy classes influenced the changes in high school students' inference, especially bridge inference and elaborative inference among sub-elements of inferential comprehension.

• Annual Conference on Human and Language Technology
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• 1997.10a
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• pp.313-319
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• 1997

한국어 의존 파싱에서는 불필요한 의존관계의 과다한 생성과 이에 따른 다수의 구문분석 결과 생성에 대처하는 연구가 필요하다. 본 논문에서는 한국어 의존 파싱 과정에서 생기는 불 필요한 의존관계에 따른 다수의 후보 의존 트리들에 대하여 통계/의미 정보를 활용하여 최적 트리를 결정하는 구문 분석 방법을 제안한다. 본 논문의 구문 분석에서 사용하는 통계/의미 정보는 구문구조부착 말뭉치(Tree Tagged Corpus)를 이용하여 구축한 술어 하위범주화 정보 사전에서 얻었으며, 이러한 정보를 활용한 구문 분석은 한국어 구문 분석의 모호성 해소에 적용되어 한국어 구문 분석의 정확도를 높인다.

• Annual Conference on Human and Language Technology
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• 2003.10d
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• pp.89-94
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• 2003

본 논문에서는 질의문 내에 포함된 동사를 중심으로 한 질의어 확장 및 정답 추출 기법을 이용한 질의 응답 시스템에 대해 기술한다. 질의 응답시스템 전체의 과정에서 동사는 하나의 정보를 표현하는 중요한 요소로 활용하며, 동사에 대한 활용은 구축된 동사구문 사전의 정보를 이용한다. 동사구문 사전은 동사의 일반적인 표층형태와, 각 문장 성분들의 의미속성, 유의동사 등의 정보를 담고 있다. 또한 동사 구문사전의 활용에서의 동사 모호성을 배제하고, 효율을 높이기 위해 약 3만 어휘의 명사 의미 사전을 사용한다. 명사 의미사전은 구문사전 내에 사용된 의미분류로 나누어져 있으며, 유의명사 및 국어사전 상의 뜻 풀이말을 포함하고 있다. 질의문 및 각 후보 문장에 대한 구문분석은 구문사전 내에 나타난 품사 별 의미속성과, 문법 형태소의 격 정보를 이용한 격 구조를 활용하였다. 논문 중에는 일반적인 질의 응답 시스템의 3단계에 맞추어 구문사전 활용 및 구문분석의 수행 단계를 보이고 마지막에 각 기법의 정확도를 보였다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.253-256
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• 2005

언어는 단순히 인간의 의사소통의 수단이 될 뿐만 아니라 사고, 추론, 판단 등의 지적활동의 도구로서 활용된다. 컴퓨터에서는 인간의 언어를 사용하여 인간과 유사한 지적활동을 실현하고 자 하는 연구로 일상언어 컴퓨팅(everyday language computing)이 있다. 본 논문에서는 일상언어 컴퓨팅을 실현하는 한 예로 교통정보 서비스를 위한 대화시스템을 제안한다. 제안하는 시스템은 시스테믹 기능문법(Systemic Functional Grammar: SFG)을 기반으로 사용자의 발화를 3개의 메타기능을 통하여 의미를 분석하고, 메타기능으로 표현된 의미로부터 시스템의 발화를 생성한다 기존 교통정보 서비스는 DB의 질의검색과 일률적인 정보제공이 일반적인 것에 비해, 제안하는 대화시스템은 대화의 의미 속에 포함된 사용자의 의도 및 의미를 분석함으로써 보다 적절한 정보를 제공하여 사용자의 서비스만족도를 향상 시키는 교통정보서비스를 가능하게 한다. 또한, 웹과 연동되는 VXML(Voice Extend Makeup Language)을 대화시스템에 적용함으로서 실용적인 인터페이스를 실행하였다.