• The KIPS Transactions:PartD
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• v.19D no.4
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• pp.263-270
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• 2012

With the current development of high speed Internet and massive database technology, the amount of web documents increases rapidly, and thus, classifying those documents automatically is getting important. In this study, we propose an effective method to extract document features based on Hangeul morpheme and keyword analyses, and to classify non-structured documents automatically by predicting subjects of those documents. To extract document features, first, we select terms using a morpheme analyzer, form the keyword set based on term frequency and subject-discriminating power, and perform the scoring for each keyword using the discriminating power. Then, we generate the classification model by utilizing the commercial software that implements the decision tree, neural network, and SVM(support vector machine). Experimental results show that the proposed feature extraction method has achieved considerable performance, i.e., average precision 0.90 and recall 0.84 in case of the decision tree, in classifying the web documents by subjects.

• Journal of Convergence for Information Technology
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• v.7 no.5
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• pp.149-155
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• 2017

The aim of this study is to provide a direction for future research by examining research trends on women in social welfare field in recent years. This study has theoretical significance in terms of expanding the horizon of social welfare knowledge by accumulating new research results based on previous research results on this topic. Using content analysis, we analyzed 37 studies on women published in Korean Journal of Social Welfare during 2009 ~ 2017 focusing on research subjects, research topics, and methods. The results of analyzing the research subjects indicated that women were described as client, family, and worker. In terms of the research topics, the results revealed a total of thirteen themes. In addition, the results showed that empirical research methods were dominant. It is suggested that more efforts should be made in future studies to broaden the scope of research subjects, topics, and methodologies in this filed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.9
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• pp.2289-2297
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• 2014

There were a lot of attempts in the army to use various domestic thematic maps, but attribute data types of military topographic analysis maps use the FACC of DIGEST, so there is a limit in employing domestic thematic maps with different types of attribute codes. Therefore, this study analyzed the FACC as a data attribute based on the MIL-PRF-89040 of the US Army. Then, VITD was created by changing the attribute codes of domestic thematic maps produced in Korea to fit the FACC. Lastly, it was applied to the analysis of cross-country movement for maneuver defined in FM 5-33 in order to verify if it is applicable in practice. As a result, it was found that the suggested method was helpful in securing the cross-country movement for maneuver. This means that this method can be used not only in producing military topographic analysis maps using domestic thematic maps but in constructing emergency transport routes roads to transport by-products of forest in future.

• Journal of the Korean Society for information Management
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• v.38 no.3
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• pp.1-22
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• 2021

An online experiment was conducted to test the subject-knowledge view of relevance theory in order to find evidence of a conceptual basis for relevance. Six experts in Library and Information Science (LIS), nine Master's students of LIS, and twelve non-experts judged the relevance of 14 abstracts within and outside of the LIS domain. Consistency among the judges was calculated by joint-probability agreement (PA) and interclass correlation coefficients (ICC). When using PA to analyze the judgements, non-experts had a higher consensus regardless of the task or division of groups. However, ICC calculations found Master's candidates had a higher level of consensus than non-experts within LIS, although the experts did not; and the agreement rates on the non-LIS task for all groups were only poor to moderate. It was only when the groups were analyzed as two groups (experts including Master's candidates and non-experts) that the expected trend of higher consistency among experts in the LIS task was seen.

• Journal of Korean Society of Archives and Records Management
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• v.18 no.4
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• pp.99-124
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• 2018

This study suggests the development of a classification system for the Independent Movement Records of the Ministry of Patriots and Veterans Affairs based on the collection of Gonghun Digital Archive based on sources, subjects, and media types. First, the classification system by source is organized by hierarchy, and the records classified by source are classified into the second category based on the related keyword. Then, the records are classified into 17 media types. Finally, it is described in the citation order of "source-subject-media type." In addition, a meaningful collection using inductive methods based on the subject words is derived. Finally, Gonghun Digital Archive collections are categorized by media types, sources, and subjects so that users can easily find the records. The result of this study is a classification system to support records retrieval of an independent movement collection, and it will become a basis for expanding the accessibility of the user and the service of independent movement records.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.1
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• pp.267-293
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• 2021

This study is aimed at analyzing the achievement criteria of cross-curricular Learning themes that can be linked to curriculums, and developing and applying the career reading programs focusing on the school library. For these purposes, first, a class model was designed in connection with reading education programs through cross-curricular Learning themes of 2015 revised curriculum. Second, the career reading classes in the areas of self-understanding, career exploration and career design have been held through a career reading class model for 137 middle school students in 5 classes for one semester. Third, the data to evaluate the career reading for the analysis of the study was constructed, and the qualitative study was conducted through of anecdotal records, multilateral observation on checklists and the analysis of action research. Lastly but not least, the materials regarding the list of books focusing on the career reading storytelling and the career mentor in a type of interests were presented, and the career reading education activities at the school field were suggested.

• Proceedings of the Korea Multimedia Society Conference
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• 1998.10a
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• pp.79-84
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• 1998

일반적으로 동영상 검색을 위해 주석 기반과 내용 기반 검색을 사용하는데, 주석 기반 검색은 사용자의 주관이 개입되어 일관성을 잃기 쉽고, 내용 기반 검색은 동영상 데이터가 담고 있는 의미가 추출되기 어렵다는 단점을 가지고 있다. 그래서, 본 논문에서는 이 두 검색 기법을 상호 보완하여 검색의 효율성과 정확성을 높이기 위해 통합 동영상 데이터 모델(IVDM)을 제안하고, 이것을 기반으로 뉴스 동영상 검색을 위한 데이터베이스 스키마와 질의 유형을 설계한다. 이 모델은 동영상 데이터를 계층적으로 구조화한 형태로 상위수준에서는 주제별로 부여된 메타 정보로 주석 기반 검색을 지원하고, 하위 수준에서는 동영상 데이터에서 색깔, 모양, 움직임, 질감 등의 특징 데이터를 추출하여 내용 기반 검색을 지원한다.

• Journal of the Korean Chemical Society
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• v.64 no.1
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• pp.38-48
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• 2020

The purpose of this study was to analysis characteristics and changes of epistemic thinking in middle school students on class-argument activities in an argument-based inquiry(ABI) science class. Data was collected from class recording video and activity worksheets of five subjects argument-based inquiry. Results of the analysis of student epistemic cognition characteristics show that experimental data was presented the most as evidence, and depending on the ABI activity, personal experience-based evidence and evidence based on scientific principles were used. As a result of analyzing the changes between claims made before and after class argumentations on five ABI activities in an argument-based inquiry science class, student claim modifications could be classified, according to reasons for the modification, into three types: correcting incorrect claims, clarifying unclear content, and expanding the concept.

• Journal of Digital Contents Society
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• v.8 no.2
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• pp.235-243
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• 2007

Students develop mathematical concepts through concrete operations in the area of mathematics. However, most of the learning contents provided on the web are not interactive and limit interactions with learners. To overcome the limitations, there have been needs to develop learning contents to support active interactions with students according to their cognitive levels. In this study, the curriculum of numbers and number operations in elementary mathematics was analyzed. Based on the object-oriented design principle, "Number Classes" on numbers and number operations were designed and implemented. A class-based learning applet was developed with theses "Number Classes". It was developed in small unit programs based on learning themes of mathematics in elementary schools. With this learning applet, the active explorations through easy operations will help students to learn concepts and principles of numbers and number operations. It will strengthen active interactions of students with computer.

• Journal of KIISE
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• v.43 no.11
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• pp.1201-1209
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• 2016

As the use of SNS continues to increase, various related studies have been conducted. According to the effectiveness of the topic model for existing theme extraction, a huge number of related research studies on topic model based analysis have been introduced. In this research, we suggested an automation system to analyze topics of each country and its distribution in twitter by combining world map visualization and issue matching method. The core system components are the following three modules; 1) collection of tweets and classification by nation, 2) extraction of topics and distribution by country based on topic model algorithm, and 3) visualization of topics and distribution based on Google geochart. In experiments with USA and UK, we could find issues of the two nations and how they changed. Based on these results, we could analyze the differences of each nation's position on ISIS problem.