• Journal of the Korean Society for information Management
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• v.17 no.2
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• pp.85-100
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• 2000

Meta search engines have been used as the first engine because they let users several search engines at once for their queries and give them the search results. The purpose of this study is to examine the features and functions of 17 meta search engines in order that it helps users select and execute effective searches on meta search engines. Each selected engine is analyzed based on the criteria evaluating both meta search engines and general search engines. The results show that each meta search engine has its own characteristics while there are common features among them. It is expected that the results of this study will help users utilize meta search engines and provide meta search engine designer basic ideas.

• Journal of the Korean Society for information Management
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• v.26 no.2
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• pp.195-210
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• 2009

This study explores knowledge structures of science and technology disciplines using a cocitation analysis of journal subject categories with the publication data of a science & technology oriented university in Korea. References cited in the articles published by the faculty of the university were analyzed to produce MDS maps and network centralities. For the whole university research domain, six clusters were created including clusters of Biology related subjects, Medicine related subjects, Chemistry plus Engineering subjects, and multidisciplinary sciences plus other subjects of multidisciplinary nature. It was found that subjects of multidisciplinary nature and Biology related subjects function as central nodes in knowledge communication network in science and technology. Same analysis procedure was applied to two natural science disciplines and another two engineering disciplines to present knowledge structures of the departmental research domains.

• Journal of the Korean Society for information Management
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• v.30 no.3
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• pp.23-48
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• 2013

This study compared and analyzed 15 CBMR (Content-based Music Retrieval) systems accessible on the web in terms of DB size and type, query type, access point, input and output type, and search functions, with reviewing features of music information and techniques used for transforming or transcribing of music sources, extracting and segmenting melodies, extracting and indexing features of music, and matching algorithms for CBMR systems. Application of text information retrieval techniques such as inverted indexing, N-gram indexing, Boolean search, truncation, keyword and phrase search, normalization, filtering, browsing, exact matching, similarity measure using edit distance, sorting, etc. to enhancing the CBMR; effort for increasing DB size and usability; and problems in extracting melodies, deleting stop notes in queries, and using solfege as pitch information were found as the results of analysis.

• Journal of the Korean Society for information Management
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• v.35 no.1
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• pp.231-250
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• 2018

In this paper, we propose a new methodology for extracting and formalizing subjective topics at a specific time using a set of keywords extracted automatically from online news articles. To do this, we first extracted a set of keywords by applying TF-IDF methods selected by a series of comparative experiments on various statistical weighting schemes that can measure the importance of individual words in a large set of texts. In order to effectively calculate the semantic relation between extracted keywords, a set of word embedding vectors was constructed by using about 1,000,000 news articles collected separately. Individual keywords extracted were quantified in the form of numerical vectors and clustered by K-means algorithm. As a result of qualitative in-depth analysis of each keyword cluster finally obtained, we witnessed that most of the clusters were evaluated as appropriate topics with sufficient semantic concentration for us to easily assign labels to them.

• Journal of the Korean Society for information Management
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• v.37 no.3
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• pp.253-274
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• 2020

In this study, text mining and main path analysis (MPA) were applied to understand the origins and development paths of research areas that make up the mainstream of Korean studies. To this end, a quantitative analysis was attempted based on digital texts rather than the traditional humanities research methodology, and the main paths of Korean studies were extracted by collecting documents related to Korean studies including citation information using a citation database, and establishing a direct citation network. As a result of the main path analysis, two main path clusters (Korean ancient agricultural culture (history, culture, archeology) and Korean acquisition of English (linguistics)) were found in the key-route search for the Humanities field of Korean studies. In the field of Korean Studies Humanities and Social Sciences, four main path clusters were discovered: (1) Korea regional/spatial development, (2) Korean economic development (Economic aid/Soft power), (3) Korean industry (Political economics), and (4) population of Korea (Sex selection) & North Korean economy (Poverty, South-South cooperation).

• Journal of Korean Library and Information Science Society
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• v.39 no.2
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• pp.407-427
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• 2008

The purpose of this study are to analyze tasks of the public librarians through Job Analysis ('DACUM') and to survey the demands of professional librarian (professional librarian types), As the results, In public libraries, technical services (classification, cataloging etc.,) is reduced, while reading, culture (continued education), and information service are increased. Also, we identified 5 types of professional librarian which is composed 4 function oriented types, and 1 user oriented types, is suggested : reading coach, cultural service librarian, external work librarian, computing support librarian, children librarian.

• Proceedings of the KAIS Fall Conference
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• 2012.05a
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• pp.440-443
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• 2012

도시지역의 도로, 교량 및 주차장과 같은 포장지역은 작은 면적이지만 강우 시 다른 토지이용에 비해 강우 유출량이 높고, 상수원인 하천의 종 및 횡방향으로 존재하기 때문에 직접적인 오염 원인으로 작용하고 있다. 이에 대한 대책으로 최적관리기법(Best Management Practices, BMP) 또는 저영향개발(Low Impact Development, LID)과 같은 관리 방안을 적용하여 강우에 의해 발생되는 강우유출수와 비점오염물질을 동시에 저감하는 방안이 연구되고 있으나, 모델링을 통한 비점오염물질 배출량의 정량화와 저감시설의 성능평가에 대한 연구는 부족한 실정이다. 본 연구에서는 주차장 지역에서 발생하는 비점오염물질의 배출량 모의 가능성을 평가하기 위해 국내 외에서 강우유출수의 모의와 저감시설의 성능평가에 많이 사용되고 있는 MUSIC(Model for Urban Stormwater Improvement Conceptualization) 모형과 SWMM(Storm Water Management Model) 모형을 이용하여 강우유출수 수문 수질 모의를 실시하여 각 모형의 적용성을 평가한 결과, 두 모형 모두 총 유출체적 오차가 ${\pm}6%$ 이내로 수문모의에 대한 적용성이 우수하게 나타났지만, 수질의 경우 SWMM 모형이 MUSIC 모형에 비하여 오염물질의 배출량을 실측치와 가깝게 모의함으로서, 결과적으로 대상지역에 대해 SWMM 모형이 MUSIC 모형에 비해 주차장의 초기우수현상을 더 잘 재현하는 것으로 나타났다.

• Journal of the Korean Society for information Management
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• v.36 no.4
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• pp.53-81
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• 2019

The 3rd Library Comprehensive Development Plan (2019-2023) of the Committee on Library and Information Policy under IFLA-UN 2030 Agenda emphasize the role of libraries in practicing social inclusion. At home and abroad, this is shedding new light on libraries as the public service institutions aimed at resolving information inequality. This study thus developed the information inequality measurement indicator optimized for libraries. For this purpose, FGI and Delphi technique were implemented as the verification stage of the expert group. As a result, the final indicators were derived in three evaluation areas, twelve evaluation items, and 30 evaluation indicators. Specifically, first, 3 evaluation items and 8 evaluation indicators were derived in the access evaluation area; second, 5 evaluation items and 12 evaluation indicators were derived in the competency evaluation area; and third, 4 evaluation items and 10 evaluation indicators were derived in the utilization evaluation area. This study is considered to be of great significance in that the information inequality measurement indicators optimized for libraries were developed, the first of its kind.

• Korean Journal of Construction Engineering and Management
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• v.18 no.6
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• pp.13-25
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• 2017

Apartments are a major type of residence and their number has continuously increased. Apartments have multiple meanings in that for public they are not only for residence purpose but for investment, a major commodity for construction firms and a critical policy measure of public well-fare for the government. Therefore, it is critical to understand and analyze trends in apartments demand for pro-active actions. The objective of the study is to analyze and identify key trends in apartments demand based on big data drawn from articles of major daily newspapers. The study identifies 17 major trends from seven themes including development, trade, sale in lots, location requirements, policy, residential environment, and investment and profit. The research methods in the study can be usefully applied to further studies for various issues in relation to the construction industry.

• The KIPS Transactions:PartB
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• v.19B no.1
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• pp.19-26
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• 2012

The rapid increase of information imposes new demands of content management. The purpose of automatic audio segmentation and classification is to meet the rising need for efficient content management. With this reason, this paper proposes a high-accuracy algorithm that segments audio signals and classifies them into different classes such as speech, music, silence, and environment sounds. The proposed algorithm utilizes support vector machine (SVM) to detect audio-cuts, which are boundaries between different kinds of sounds using the parameter sequence. We then extract feature vectors that are composed of statistical data and they are used as an input of fuzzy c-means (FCM) classifier to partition audio-segments into different classes. To evaluate segmentation and classification performance of the proposed SVM-FCM based algorithm, we consider precision and recall rates for segmentation and classification accuracy for classification. Furthermore, we compare the proposed algorithm with other methods including binary and FCM classifiers in terms of segmentation performance. Experimental results show that the proposed algorithm outperforms other methods in both precision and recall rates.