• Health and Mission
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• 통권5호
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• pp.35-39
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• 2006

과학의 시대에 일방적인 질주를 경계하고 정신세계에 관심을 두고 있는 영성의 심리학적 의미를 되짚어 보고 영성, 혹은 Spritiuality 개념 양쪽에 숨어 있는 심리학적 의미와 정신분석학의 유사점에 대해 논의해 본다.

• Proceedings of the Korean Information Science Society Conference
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• 한국정보과학회 2002년도 봄 학술발표논문집 Vol.29 No.1 (B)
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• pp.460-463
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• 2002

사전 뜻풀이에서 추출된 기존의 의미정보는 동형이의어가 포함된 뜻풀이에서 명사, 용언을 모두 추출하는 방법을 이용하여 단어 중의성 해소에 부적절만 정보를 상당수 포함하게 되었다. 이러만 부적절한 정보 때문에 오분석이나 과분석이 발생하게 된다. 그러므로 기존의 의미정보에서 동형이의어 분별에 유용한 정보만을 선택하는 기준이 필요하게 되었다. 본 논문에서는 사전 뜻풀이에서 동형이의어와 의미정보 사이의 상호정보량을 계산하고 임계치를 선정하여 의미정보를 선택제약하는 방법을 이용하였다. 임계치에 의해 제한된 의미정보의 효율성을 실험하기 위한 다양만 동형이의어 분별 실험들을 수행하였다.

• The Journal of the Korea Contents Association
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• 제18권7호
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• pp.291-301
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• 2018

The purpose of this study was to examine the mediating effects of the spiritual mediating and the control effects of these between the death anxiety and meaning of life in baby boomers. The data for the analysis were collected for baby boomers born in A City from 1955 to 1963 and used a total of 500 data for the final analysis. For the analysis method, SPSS 21.0 was used for descriptive statistics analysis, correlation analysis for investigate correlation between variables, mediating regression analysis for each variable hypothesis test, and control effect of spirituality. We conducted a hierarchical regression analysis to examine the correlation between the two variables. The analysis results are as follows. First, we found that anxiety of death has a significantly effect on the meaning of life. Second, spirituality mediation has a significantly positive effect on the meaning of life. Third, the mediating effect of spirituality was proved in the relationship between death anxiety and meaning of life, and the control effect of spirituality was significant in the relation of death anxiety and meaning of life. As a result of these, it is demonstrating that the meaning of life can be enhanced by strengthening spirituality according to the degree of death anxiety in baby boomers. It shows a way to reduce or eliminate death anxiety that affects the meaning of life and strengthen spirituality.

• Journal of Digital Convergence
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• 제18권1호
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• pp.137-146
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• 2020

NLP means the technology that mechanically analyzes a language spoken by a human and makes it into a form that can be understood by a computer. This is important because it is a core technology for communication between humans and devices, which is the basis of artificial intelligence. In this paper, I analyzed patent information of US and Korea in order to identify technical trends related to NLP, especially semantic analysis. and the purpose of this study is to provide meaningful information for future research on NLP. In conclusion, the number of Korea patents is 7.9% compared to the USA and the different frequencies of the major keywords were found to differ from country to country in technical direction. In addition, the upward or downward keywords are twice as many in the U.S. as in Korea, and reflect the trend of the times relatively more. Based on these results, in future study, I will analysis how upward trending keywords are described in actual patents for concrete technology prediction.

• Annual Conference on Human and Language Technology
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• 한국정보과학회언어공학연구회 2014년도 제26회 한글 및 한국어 정보처리 학술대회
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• pp.51-55
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• 2014

의미역 결정 (Semantic Role Labeling) 은 문장 내의 술어와 이들의 논항들의 의미 관계를 결정하는 과정을 뜻한다. 의미역 결정을 하기 위해서는 대량의 말뭉치와 다양한 언어 자원이 필요한데, 많은 경우에 PropBank 말뭉치가 사용된다. 한국어 PropBank는 다른 언어에 비해 자료가 적어 그것만을 가지고 의미역 결정을 하기에 적절하지 않다. 또한 한국어 의미 분석을 위해서 지금까지는 세종 말뭉치나 의미역이 활용되어 오기도 하였다. 따라서 한국어 의미역 결정에서는 한국어 PropBank 뿐만 아닌 세종 의미역 표지 부착 말뭉치의 구축 역시 요구되는데 말뭉치 구축 작업이 수동 부착 작업이기 때문에 많은 시간과 비용이 소모된다. 본 논문에서는 이러한 문제점을 해결하기 위해 이미 구축되어 있는 한국어 PropBank 의미역을 세종 의미역으로 자동 변환하는 방법을 제시한다. 자동 변환을 위해서는 먼저 PropBank 의미역의 변환 후보 의미역을 구하여 이들 중에서 가장 적절한 의미역으로 변환한다. 자동 변환을 위해서는 크게 3 가지 특징을 활용하는데, 첫째는 변환 대상 논항의 의미 유사성이고, 둘째는 논항과 의미 관계를 가지고 있는 술어, 그리고 셋째는 논항과 결합되어 있는 조사이다. 이 세 가지 특징을 사용하여 정확한 의미역 변환을 위해 술어, 조사의 의미역 결합 확률 테이블을 구축한다.

• Annual Conference on Human and Language Technology
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• 한국정보과학회언어공학연구회 2019년도 제31회 한글 및 한국어 정보처리 학술대회
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• pp.252-257
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• 2019

이 논문은 한국어 Abstract Meaning Representation (AMR; 추상 의미 표상) 가이드라인 1.0^*을 소개한다. AMR은 통합적인 의미 표상 체계로, 의미 분석(semantic parsing)의 주요 Task 중 하나로 자리매김하고 있다. 한국어 AMR 가이드라인은 현행 AMR 1.2.6을 심도 있게 분석하고 이를 한국어 상황에 맞게 로컬라이징한 것이다. 해당 가이드라인은 추후 한국어 AMR 말뭉치 구축(sembanking)에 대비하여 일관된 주석 세부 지침을 제공하기 위해 작성되었다.

• Journal of Digital Contents Society
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• 제18권5호
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• pp.911-921
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• 2017

The purpose of this study was to investigate the semantic network analysis to understand image contents and to examine the degree to which words, word clusters contributed to the formation of semantic map within image contents. For this research, from 1993 until 2016 the field of the image contents were collected for a total of 2,624 cases papers. The word appeared in Title analyzed the social network by using the R program of Big Data. The results were as follows: First, Research on 'education' in the field of image contents has decreased. Second, the role of 'media' in the field of image contents is changing. Finally, It is a change in the status of 'contents' in the field of image contents.

• Journal of Korea Game Society
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• 제11권5호
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• pp.53-65
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• 2011

If we analyze games and game communities which are mostly consumed by the young, we can get the meaningful analysis result of youth culture. The content analysis and the discourse analysis methods were used in this study since the relationship between media and culture was exquisitely reciprocal. The object of analysis is the domestic community of the simulation game, Sims 2, which reflects the identities of the game players. I was searching for the social and cultural meaning of the game activities, and could find the content's characteristics of 'Sims 2' players' discourses. The results showed that the game media has social and cultural significance by providing the players a self-realization, identity workshop, virtual identity that diverges from their own ones with an alternative sex, constructing a cultural property with the involved game players, and increasing their virtual consumption and self-examination of antisocial behaviors in the game.

• Journal of KIISE:Software and Applications
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• 제35권6호
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• pp.392-403
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• 2008

User reviews are valuable information that can be used for various purposes. In particular, the product reviews on online shopping sites are important information which can directly affect the purchasing decision of the customers. In this paper, we present our design and implementation of a system for summarizing the customer's opinion and the features of each product by analyzing reviews on a commercial shopping site. During the analysis process, several natural language processing(NLP) techniques and the semantic dictionary were used. The semantic dictionary contains vocabularies that are used to express product features and customer's opinions. And it was constructed in semi-automatic way with the help of the tool we implemented. Furthermore, we discuss how to handle the vocabularies that have different meanings according to the context. We analyzed 1796 reviews about 20 products of 2 categories collected from an actual shopping site and implemented a novel ranking system. We obtained 88.94% for precision and 47.92% for recall on extracting opinion expression, which means our system can be applicable for real use.

• Journal of Internet Computing and Services
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• 제15권6호
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• pp.99-106
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• 2014

Generation and analysis methods have been proposed in recent years, such as using a natural language and formal language processing, artificial intelligence algorithms based knowledge model is effective meaning. its semantic based knowledge model has been used effective decision making tree and problem solving about specific context. and it was based on static generation and regression analysis, trend analysis with behavioral model, simulation support for macroeconomic forecasting mode on especially in a variety of complex systems and social network analysis. In this study, in this sense, integrating knowledge-based models, This paper propose a text mining derived from the inter-Topic model Integrated formal methods and Algorithms. First, a method for converting automatically knowledge map is derived from text mining keyword map and integrate it into the semantic knowledge model for this purpose. This paper propose an algorithm to derive a method of projecting a significant topic map from the map and the keyword semantically equivalent model. Integrated semantic-based knowledge model is available.