• Journal of Korean Library and Information Science Society
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• v.49 no.4
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• pp.119-145
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• 2018

The purpose of this study is to select a specialized topic that meets the needs of the local contents and the local people, based on this, the study develops practical guidelines for operating specialized libraries. For this purpose, forty-three libraries in domestic and foreign were selected to derive their implications by surveying the specialized libraries building process, regional characteristics, specialized books, budget, personnel, network, facilities, environment, programs, and publicity. Based on the suggestions reached, we proposed four stages of operation guidelines: the preparation stage for establishing a system to support specialized services and selecting regional specific topics, the stage for the establishment of the library environment in order to serve the selected specialized subjects, the operational stage of planning and providing information complex cultural services related to specialized subjects, and the diffusion stage that communicates with external institutions of the library for upgrading and expanding services.

• Journal of Software Assessment and Valuation
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• v.14 no.2
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• pp.1-9
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• 2018

The proportion of users and companies using open source continues to grow. The size of open source software market is growing rapidly not only in foreign countries but also in Korea. However, compared to the continuous development of open source software, there is little research on open source software subject classification, and the classification system of software is not specified either. At present, the user uses a method of directly inputting or tagging the subject, and there is a misclassification and hassle as a result. Research on open source software classification can also be used as a basis for open source software evaluation, recommendation, and filtering. Therefore, in this study, we propose a method to classify open source software by using machine learning model and propose performance comparison by machine learning model.

• 주택과사람들
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• s.210
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• pp.10-11
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• 2007

지난 10월23일, 논현동건설회관에서 '민원사례를 통해 본 기반 시설 설치 부담의 문제점과 개선 방안'이란 주제로 공청회가 열렸다. 이번 공청회는 국민고충처리위원회와 한국건설산업연구원의 주최로 개최됐다.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.1
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• pp.89-100
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• 2006

Recently the dramatical development of domestic spatial information technology and the successful construction of Korea NGIS(Nation Geographic Information System) have been the foundation of the scientific national territory utilization and management. However, there still exists the original problems to construct the thematic maps for supporting the various administrative services because administrative officials tend to depend on paper maps and inventories to generate spatial information, process, upgrade and manage. In this situation, there is a greater need to develop GIS system for the effective construction of various thematic maps. In this study, the satellite image based high accurate e-thematic construction and management system was developed to support the forest administrative service such as generating user based forest thematic maps, modifying them, analyzing and outputting through GIS, GPS and satellite images. For the case study, the previous forest paper map of Jeju Island was converted in format of raster and vector data using satellite images to maintain more exact location information so that this system helps to manage domestic spatial information scientifically and effectively within shorter time then support the standard for domestic spatial information. Moreover, this system plays the role of DSS(Decision Supporting System) for forest administrative affairs by integrating the attribute data, managing the GPS data and linking the multimedia data. For this, the additional main objective of this study was acquired powerful GIS component, which is called as e-mapping component, so that it could be regarded as enabling interoperability and reusability within this application. For the future works, the essential element idea and technology in this study could be applied very usefully to other official works such as constructing thematic maps and supporting the desired affairs.

• Journal of Korea Society of Industrial Information Systems
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• v.9 no.3
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• pp.38-45
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• 2004

The goal of this research is to develop a method of identifying a topic of a given text by looking at relationship of keywords defined in an ontology hierarchy. The keywords which are extracted from important sentences of the given text are mapped onto their correspond concepts which exist in the hierarchy. After all the words are mapped, the correspond concepts will be generalized into one single concept. The single concept will most likely be the topic of text. Our research have an approach that promotes both satisfaction in term of robustness and accuracy using ontologies and word frequency. So, this attempts are done in what they call as a hybrid approach. We try to take the challenge by using knowledge-statistical base approach. Experimental results show that proposed method outperforms the existing method using knowledge-base only.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.4
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• pp.5-34
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• 2016

The purpose of this study was to provide an overview of the historical process of library and information science domain since 1970 in Korea. This study analyzed major subjects of 5,915 articles which were published through six academic journals in LIS area from 1970 untill 2015 by year and over 10-year periods. The results showed the development process of LIS domain itself and 4 sub-domains through subject analysis of 6 academic journals.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.327-330
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• 2011

기계학습 기술이 발달함에 따라 기계학습은 제한된 상황에서 벗어나, 실생활과 비슷한 복잡하고 다양한 상황에서의 학습이 중요한 이슈가 되었다. 본고에서는 현실과 비슷한 상황을 도입하기 위하여 드라마를 사용한다. 드라마 내의 등장인물들은 말투, 어조, 관심주제와 같이 다양한 특성을 내재하고 있다. 등장인물들의 다양한 특성 중 관심주제는 대본 안에 글로 드러나 있으므로 기계학습을 통해 등장 인물의 인식에 활용할 수 있다. 최근, 확률그래프모델 분야에서 문서의 주제를 다루는 기법으로 자주 거론되는 토픽 모델 중 하나인 Author-Topic (AT) 모델은 등장인물의 관심주제를 학습하는 데에 적합하다. 본 논문에서는 AT 모델로 대본을 학습하고, 학습된 데이터 분포를 이용하여 장면에 등장하는 인물들을 인식하는 방법을 제시한다. 이 방법의 성능을 측정하기 위해, 미국 TV 드라마 'Friends' 대본 39편을 학습시키고, 장면에 대해 등장인물을 인식하는 실험을 수행하였다. 이 실험을 통해 본고에서 Author-Topic 모델을 이용한 인물 인식 방법이 다수의 인물이 참여한 담화의 인물들을 인식하는데 강점이 있음을 확인할 수 있다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.23 no.2
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• pp.27-44
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• 2012

This paper provides suggestions for analyzing Cultural Objects Name Authority(CONA) developed by the Getty Trust and applying CONA to Functional Requirements for Subject Authority Data(FRSAD). CONA is linked with the other Getty controlled vocabularies such as AAT, ULAN, and TGN, and can be linked with the library controlled vocabularies, such as LCSH. However, CONA has differences with library models since CONA is based on the art museum or art gallery. Therefore, we need to consider it when we link CONA to library standard models. The results discussed in this study have implications for analyzing CONA which provides access for cultural objects and applying it to the FRSAD, the subject authority model in library fields.

• Annual Conference on Human and Language Technology
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• 2015.10a
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• pp.240-245
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• 2015

일반영역 음성인식은 n-gram 희소성 문제로 인해 대용량의 언어모델이 필요하다. 대용량 언어모델은 분산형 모델로 구현될 수 있고, 사용자 입력에 대한 동적 언어모델 보간 기술을 통해 음성인식 성능을 개선할 수 있다. 본 논문은 동적 언어모델 보간 기술에 대한 새로운 접근방법을 시도한다. 텍스트 군집화를 통해 주제별 언어모델을 생성한다. 여기서 주제는 사용자 입력 영역에 대응한다. 본 논문은 사용자 입력에 대하여 실시간으로 주제별 언어모델의 보간 가중치 값을 계산하는 접근 방법을 제시한다. 또한 언어모델의 보간 가중치 값 계산의 부담을 감소하기 위해 언어모델 군집화를 통해 대용량 언어모델 보간 접근 방법의 연산 부담을 해소하기 위한 시도를 한다. 주제별 언어모델에 기반하고 언어모델 군집화를 통한 동적 언어모델 보간 기술의 실험 결과 음성인식 오류 감소율 6.89%를 달성했다. 또한 언어모델 군집화 기술은 음성인식 정확도를 0.09% 저하시켰을 때 실행 시간을 17.6% 개선시키는 실험결과를 보였다.

• Journal of the Korean Society for Library and Information Science
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• v.37 no.2
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• pp.169-186
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• 2003

Most of the university libraries in Korea provide digital reference service(DRS), but the use of DRS is very low. The low usage of DRS seems to result from the lack of subject librarians, of staff, of public relations, and of managers' enthusiastic attitude and understanding of DRS. It is difficult to solve these problems because of the poor circumstances in universities. The collaborative digital reference service(CDRS) is a solution to these problems. Not only CDRS costs little but also can provide reference services in many different subject areas. Though subject specialist librarian, user-friendly system interface, system programs and administrative supports are necessary to implement CDRS, the education and training of the subject specialist librarians is the most important work to be done in the university library situation in Korea.