• Title/Summary/Keyword: 주제 구조

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Characteristics of Narrative Writing in Normal Aging: Story Grammar and Syntactic Structure (노년층의 글쓰기 특성 -이야기문법과 구문구조)

  • Kim, Hyeon Ah;Won, Sae Rom;Lee, Bo Eun;Yoon, Ji Hye
    • 재활복지
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    • v.21 no.1
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    • pp.193-212
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    • 2017
  • The elderly often produce irrelevant speech and get off-topic more easily than the young; the former also has difficulty generating fewer syntactic structures and makes errors of grammatical morphemes. In particular, the elderly might have more difficulty writing since it requires more complex cognitive processes than storytelling. The participants in this study were 32 young people and 32 older people. They were asked to write a short story of Korean fairy tale('Heungbu Nolbu'). The data was analyzed in narrative composition and syntactic structures. The study revealed the following: First, in composition aspects, the elderly group showed significantly lower total number of story grammar and episodes. In addition, the elderly produced more off topic statements. Second, in syntactic aspects, although there was no significant difference in the number of producing complex sentences between two groups, the elderly group generated more inadequate cohesive devices and used fewer relative and adverbial clauses. These findings suggest that the elderly have a tendency to perform tasks by producing more off-topic statements and shows decreasing coherence by using lower number of relative and adverbial clauses. However, this study also uncovers that the elderly were able to write more complex and longer sentences using visual feedback.

Analyzing the Main Paths and Intellectual Structure of the Data Literacy Research Domain (데이터 리터러시 연구 분야의 주경로와 지적구조 분석)

  • Jae Yun Lee
    • Journal of the Korean Society for information Management
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    • v.40 no.4
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    • pp.403-428
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    • 2023
  • This study investigates the development path and intellectual structure of data literacy research, aiming to identify emerging topics in the field. A comprehensive search for data literacy-related articles on the Web of Science reveals that the field is primarily concentrated in Education & Educational Research and Information Science & Library Science, accounting for nearly 60% of the total. Citation network analysis, employing the PageRank algorithm, identifies key papers with high citation impact across various topics. To accurately trace the development path of data literacy research, an enhanced PageRank main path algorithm is developed, which overcomes the limitations of existing methods confined to the Education & Educational Research field. Keyword bibliographic coupling analysis is employed to unravel the intellectual structure of data literacy research. Utilizing the PNNC algorithm, the detailed structure and clusters of the derived keyword bibliographic coupling network are revealed, including two large clusters, one with two smaller clusters and the other with five smaller clusters. The growth index and mean publishing year of each keyword and cluster are measured to pinpoint emerging topics. The analysis highlights the emergence of critical data literacy for social justice in higher education amidst the ongoing pandemic and the rise of AI chatbots. The enhanced PageRank main path algorithm, developed in this study, demonstrates its effectiveness in identifying parallel research streams developing across different fields.

An Analysis of the Characteristics of the Subject-based Classification System (주제어기반 분류의 특성 분석 - 범주화 및 분류체계의 측면을 중심으로 -)

  • Baek, Ji-Won
    • Journal of the Korean Society for Library and Information Science
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    • v.47 no.1
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    • pp.57-79
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    • 2013
  • The aim of this study is to reveal the categorizational and classificatory features of the subject-based classification (SBC) as a subject organization system. For this purpose, 12 SBC schemes of public libraries were selected and a comparative analysis was made between the traditional classification system, such as DDC and SBC in terms of the categorizational aspects, and canons for the classification. As a result, there were significant and considerable differences between the two types of classifications. This study concluded that SBC cannot be clearly explained and understood without a consideration of its essential and distinctive characteristics as a classification scheme.

A Topic Related Word Extraction Method Using Deep Learning Based News Analysis (딥러닝 기반의 뉴스 분석을 활용한 주제별 최신 연관단어 추출 기법)

  • Kim, Sung-Jin;Kim, Gun-Woo;Lee, Dong-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.04a
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    • pp.873-876
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    • 2017
  • 최근 정보검색의 효율성을 위해 데이터를 분석하여 해당 데이터를 가장 잘 나타내는 연관단어를 추출 및 추천하는 연구가 활발히 이루어지고 있다. 현재 관련 연구들은 출현 빈도수를 사용하는 방법이나 LDA와 같은 기계학습 기법을 활용해 데이터를 분석하여 연관단어를 생성하는 방법을 제안하고 있다. 기계학습 기법은 결과 값을 찾는데 사용되는 특징들을 전문가가 직접 설계해야 하며 좋은 결과를 내는 적절한 특징을 찾을 때까지 많은 시간이 필요하다. 또한, 파라미터들을 직접 설정해야 하므로 많은 시간과 노력을 필요로 한다는 단점을 지닌다. 이러한 기계학습 기법의 단점을 극복하기 위해 인공신경망을 다층구조로 배치하여 데이터를 분석하는 딥러닝이 최근 각광받고 있다. 본 논문에서는 기존 기계학습 기법을 사용하는 연관단어 추출연구의 한계점을 극복하기 위해 딥러닝을 활용한다. 먼저, 인공신경망 기반 단어 벡터 생성기인 Word2Vec를 사용하여 다양한 텍스트 데이터들을 학습하고 룩업 테이블을 생성한다. 그 후, 생성된 룩업 테이블을 바탕으로 인공신경망의 한 종류인 합성곱 신경망을 활용하여 사용자가 입력한 주제어와 관련된 최근 뉴스데이터를 분석한 후, 주제별 최신 연관단어를 추출하는 시스템을 제안한다. 또한 제안한 시스템을 통해 생성된 연관단어의 정확률을 측정하여 성능을 평가하였다.

정보학분야 연구동향 분석

  • 서은경
    • Journal of the Korean Society for information Management
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    • v.14 no.1
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    • pp.269-291
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    • 1997
  • The study examines research themes, the relationship with other disciplines, and disciplinary organization of Information Science n order to analyze general research patterns in the field of Information Science. The methods used for this study is subject analysis of the journal articles and citation analysis. In result, it is found that most researchers in Information Science have studied on 'library-related information science'. But the study also finds the research pattern shift from library-related study to computer-related study.

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A Study on Design and Analysis of Metadata and Ontology based on Humanities and Social Sciences (기초학문자료 메타데이터 설계 분석 및 온톨로지 적용 방안 연구)

  • Lee, Jung-Yeoun;Kim, Jung-Min;Choi, Suk-Doo;Kim, Lee-Kyum
    • Journal of the Korean Society for Library and Information Science
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    • v.41 no.2
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    • pp.291-316
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    • 2007
  • The purpose of this study is to design metadata model for describing different kinds of concepts, properties, and semantic relationships of result materials of researches. We examine our metadata model to evaluate correctness and efficiency of the model through contents analysis of a constructed database. From the results of examination, we suggest more effective structure of metadata schema. Domain ontology could constructed by the enlarged thesaurus in order to overcome the limitation of the keyword search, therefore we design a philosophy and religion ontology based on subject classification to improve information retrieval and implement it using XML/Topic Maps to improve retrieval functionality of our database.

Development of Bent Glass Automatic Shaping System using PC-based Parallel Distributed Control Scheme (PC기반 병렬 분산제어방식을 이용한 곡면유리 자동성형기 개발)

  • 양근호
    • Journal of the Institute of Convergence Signal Processing
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    • v.5 no.1
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    • pp.40-45
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    • 2004
  • This paper presents the parallel distributed control scheme for shaping of the bent glass. The designed system consists of a PC, a main controller and 11 servo-controllers, the precision motion controllers. Each elements are connected by using RS-232C and 8-bit data bus. In order to guarantee the stability and the control performance, we use a precision PID motion controller and a H-bridge on the servo-drivers. PC calculates position values of 11 DC motors by using the pre-determined curvature value and offers the user interface environment operator. The main controller provides the control instructions and parameter values to 11 servo-controllers by chip enable signal, simultaneously. Using the received commands and parameter values, the servo-controllers control the positions of the DC motors based on PID control scheme.

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A Phenomenological Study on the experience of the physically abused children (학대받은 아동에 대한 현상학적 연구)

  • Ko, Me-Young
    • Korean Journal of Social Welfare
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    • v.56 no.1
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    • pp.71-102
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    • 2004
  • This study is conducted to understand the meanings and nature of the experience of the physically abused children. This is a phenomenological study utilizing van Manen's method to present the children's inner world. The participants for this study were 10 children, in the age of 8 to 12, who were physically abused by their parents. Data were collected by using semi-structured interviews by the workers who regurally contacted children at the service agencies. Data were analyzed by using 'line by line' reflection by two graduate level students and by the researcher. Eight essential themes were drawn and used for the phenomenological understanding which reveals the meanings given by the children experiencing abuse. There were some suggestions for the abuse counsellors based on these findings.

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Design and Implementation of Personalized News Recommendation System Considering User Reading Habit under Smartphone Environment (스마트폰 환경에서 기사 읽기 습관 고려한 뉴스 추천 시스템 설계 및 구현)

  • Song, Teuk-Seob
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.7
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    • pp.1628-1633
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    • 2014
  • In this paper, we propose a news article recommendation system that reflects users' areas of interest and reading habits. Users can select interesting subject then our proposed system displays interesting articles above the other articles. Also the proposed system reflects users' dynamic interests using analyse of user's reading habits. The method of dynamic interest applies the different weight values from users simply clicking and reading entire articles. When users read articles from specific areas, the prosed system increases the weight of these specific areas using XML structure information. Hence users can read their articles of interest with ease.

Information Technology Application for Oral Document Analysis (구술문서 자료분석을 위한 정보검색기술의 응용)

  • Park, Soon-Cheol;Hahm, Han-Hee
    • Journal of Korea Society of Industrial Information Systems
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    • v.13 no.2
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    • pp.47-55
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    • 2008
  • The purpose of this paper is to develop an analytical methodology of or릴 documents by the application of. Information Technologies. This system consists of the key word search, contents summary, clustering, classification & topic tracing of the contents. The integrated model of the five levels of retrieval technologies can be exhaustively used in the analysis of oral documents, which were collected as oral history of five men and women in the area of North Jeolla. Of the five methods topic tracing is the most pioneering accomplishment both home and abroad. In final this research will shed light on the methodological and theoretical studies of oral history and culture.

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