• Journal of the Korean Society for information Management
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• v.18 no.2
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• pp.231-254
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• 2001

As contemporary thesauri have become large and complex, it is increasingly difficult to assess the intended meaning of each one of the terms. Thereby the meaning of many descriptors seems to be very similar, and it is often not possible to distinguish among them and to identify the term correctly. Purpose of this article is to induce definitions of descriptors in thesaurus by specifying the characteristics of each concept, locating it in the domain and providing clear and prescriptive information on the meaning of each descriptor in the form of a standardized terminological definition. In this study, a small prototype thesaurus using definition of term in the field of information industry in Korean Standards has been developed. In this thesaurus definitions are written for each descriptor with the help of a proposed defining model and in accordance with defining rules borrowed from the field of terminology. In addition, elements of analyzed definition have been included in the relation structure of descriptors. It is revealed that terminological definition added to thesaurus may permit extraction of separate items of information from definitions for the representation of knowledge structures and makes it easier to confine the scope of descriptors to be included in thesaurus in a given subject field.

• Journal of the Korean Society for Library and Information Science
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• v.43 no.2
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• pp.277-298
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• 2009

In order to utilize the operational metadata retrieval system which is based on the semantic association between the research outcomes of the Korean Research Memory (KRM), the systematic integration of the metadata of the research outcomes with the term data registry (DR) was required. This study presents the ontology which can be used effectively to support the KRM. It includes the concept modeling of the knowledge structure of research outcomes, information retrieval service modeling that applies an analytical approach to researchers' needs in conjunction with the term DR, and also some technical and administrative suggestions for future system management.

• Annual Conference on Human and Language Technology
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• 1998.10c
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• pp.111-117
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• 1998

자연어 처리 응용 분야에서 다양하게 이용할 수 있는 용어들을 자동적으로 획득하고, 나아가 이 과정을 점진적으로 반복하여 수행함으로써 획득할 수 있는 용어의 수를 증가 시키고 그 용어들 간의 의미적 관계도 얻을 수 있다. 점진적인 용어 획득을 위하여 용어의 형태에 변이 규칙을 적용하여 새로운 용어를 획득하는 과정을 반복한다. 우리는 변이의 종류를 단어간의 변이 뿐만 아니라 단어 내의 변이 그리고 이 둘을 결합한 복합 변이로까지 확장하여 새로운 용어 획득 과정을 더욱 다양화하는 기법을 제시한다. 실험은 확장된 변이 규칙으로부터 얻은 용어들 중에서 기존의 단어간의 변이로부터 획득한 용어들의 비율이 전체의 38.6%라는 사실로부터 변이의 종류 및 규칙의 확장이 획득할 수 있는 용어들의 수를 증가 시킬 수 있다는 것을 보여준다.

• The Bulletin of The Korean Astronomical Society
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• v.41 no.1
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• pp.63.2-63.2
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• 2016

1900년대 초에 발행된 천문학 서적 2권을 중심으로 사용된 천문학 용어를 현재와 비교분석하는 연구를 진행하였다. 우리는 두 서적에 사용된 용어에서 천문학용어, 화학원소 용어, 인물 및 지명 용어로 나누어서 현재의 과학용어사전과 비교하였다. 지금까지 사용되는 용어와 지금은 사용하지 않는 용어, 그리고 의미는 동일하지만 변화를 보인 용어로 나누어 분석하였다. 한 권의 천문학 서적에는 영어 색인이 포함되어 있어, 그 기준으로 현재와 비교하고, 나머지 천문학 서적은 본문에 나온 용어를 추려서 비교하였다. 용어를 통해서 두 권의 서적이 다른 경로로 수입 번역되었음을 알 수 있었고, 현재와 같이 용어의 통일이 없었다는 점에서 당시 천문학 교육의 한계점이 드러났다. 이 연구는 당시의 천문학 서적이나 관련 서적을 연구할 때, 한자 표기 없이 영어 어휘를 음차하여 표기된 용어를 동정하는데 도움을 줄 것으로 보인다.

• Journal of Korean Library and Information Science Society
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• v.38 no.4
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• pp.299-323
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• 2007

This study investigates both arbitrariness and misrepresentation in the terminology of Korea's LIS field with an example of the term 'information services.' The focus is on analyzing the differences in the Term's history and theoretical base between American LIS field and Korea's. Discussed in details are the popularity and usage of the Term in Korea's LIS field and libraries. The ultimate intention of this study is to motivate the Korea's LIS scholars to endeavor for theoretical accomplishments with regard to 'information services,' which can justify the change of term from 'reference services' to 'information services.'

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05c
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• pp.1551-1554
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• 2003

최근 다양한 의료정보 시스템이 개발되어, 그 사용이 급증하고 있다. 이 들 각각의 의료정보 시스템에서 발생, 축적된 의료정보는 분산 이질의 형태를 가지며, 또한 같은 의미를 갖는 의료정보가 각기 다른 구조와 용어로 기술되어 축적되는 것이 일반적이다. 이와 같이 개별적으로 개발, 활용되어 온 의료정보를 웹 상에서 통합하여, 단일화 된 의료정보 검색 기능을 제공하기 위해서는 이들 의료정보의 의미적 연관성을 고려한 정보의 통합, 검색 기술의 개발이 필수적이다. 본 논문에서는 의미적 의료정보의 통합을 위한 UMLS와 LOINC 데이터베이스 기반의 연관 값 지식베이스의 설계 및 개발 방식을 제안한다. 웹 상에 존재하는 각종 분산 이질 형태의 의료정보는 XML을 공통 데이터 구조로 하여 통합되며, 정보 통합의 과정에서 연관 값 지식베이스를 참조하여 의미적 관련도가 높은 의료정보(구조 정보와 내용 정보)는 상호 연결되어, 진정한 의미의 정보 통합을 구현하게 된다. 지식베이스는 용어별로 식별자, 요소명, 연관값, 복수형, 동의어, 한글 이름 등의 필드틀 가지며, 현재 상담, 처방, 보험, 의료용어, 증상, 임상결과 등 적용분야 별로 작성된 연관 값 지식베이스가 구현되어 있다.

• Korean Journal of Heritage: History & Science
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• v.54 no.3
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• pp.192-203
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• 2021

This paper investigates the process of change in the meaning of the term gongye (工藝) (nowadays it means craft) during Korea's transition to the modern era. The Annals of the Joseon Dynasty (朝鮮王朝實錄) will serve as the basis for the examination of pre-modern usage, and the Korea-United States Treaty of 1882 for the changes that occurred between the translation from Chinese and from Japanese following the opening of the port . After the port opened, the meaning of gongye, which once broadly referred to the wide range of work of people from different fields, was narrowed down to singularly represent the manufacturing industry. Following the example of Japan, the first East Asian country to succeed in modernization, this new meaning of gongye was generally used in the context of embracing Western culture and creating industry. As industrialization emerged as a national mission, and new terminology was needed to express these new concepts, the Chinese characters used by the Japanese to translate Western concepts were directly imported and used without making any changes. Gongye was similar in meaning to gongeop (工業) (nowadays it means industry) at the time, and the two terms were used interchangeably. However, following the Japanese annexation of Korea, the cultural administration of the Governor-General imbued the term with artistic concepts, and gongye was differentiated from gongeop, As such, examining the establishment of terminology and concepts can be helpful for understanding the contradictions and problems of the Korean crafts scene, which were derived from a period in the past called the modern era.

• Journal of The Korean Association For Science Education
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• v.35 no.6
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• pp.1031-1038
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• 2015

The list of words and the semantic structure that connects them have been important to the areas of psychology, psychoanalysis, linguistics, and education. Some researchers in constructivist perspectives of science education also have interests in the structure of science concepts expressed by science terminologies. The purpose of this paper was to investigate the test environment factors influencing the word association test as a method to identify students' semantic structures for science terminologies. We set up four variables that are possibly considered in recognizing a word as having scientific meaning. The four variables include: noticing whether stimulus words are science terminologies or not, presenting science terminologies and everyday words alternately, whether presider is science teacher or not, and whether students have learned the concepts or not. In comparing the test results of the experimental group and the control group, we have checked whether each variable influences the test result or not. Stimulus words included nine science terminologies containing both ordinary and scientific meanings, and subjects included 282 middle school students. The degree of recognizing science terminology as having scientific meaning was found to increase only when stimulus words were noticed as science terminologies. In the case of the remaining variables, there was no difference between the control group and the experimental group.

• Proceedings of the Korean Society for Information Management Conference
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• 2003.08a
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• pp.95-103
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• 2003

목차 및 권말색인과 같은 인쇄형태의 정보내용에 대한 구조화된 접근방식에서 착안하여 전자 문서의 내용에 대한 새로운 형태의 접근방식을 개발할 수 있는데, 이를 위한 방안으로 용어 자동분류 기법이 있다. 본 연구에서는 용어의 의미모호성 문제를 해결하는 동시에 용어간 계층관계 표현이 가능한 자동분류 기법으로 퍼지 클러스터링 기법을 제안하고, 대표적인 퍼지 클러스터링 알고리즘인 퍼지 c-means 기법에 대해 분석하고자 한다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.2
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• pp.45-52
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• 2012

This paper proposes a new enhancing document clustering method using the important terms of cluster and the wikipedia. The proposed method can well represent the concept of cluster topics by means of selecting the important terms in cluster by the semantic features of NMF. It can solve the problem of "bags of words" to be not considered the meaningful relationships between documents and clusters, which expands the important terms of cluster by using of the synonyms of wikipedia. Also, it can improve the quality of document clustering which uses the expanded cluster important terms to refine the initial cluster by re-clustering. The experimental results demonstrate that the proposed method achieves better performance than other document clustering methods.