• Title/Summary/Keyword: 구조적 초록

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A Preliminary Study on the Adoption of Structured Abstracts by Korean Library and Information Science Journals (국내 문헌정보학 분야 학술지에 구조적 초록을 도입하기 위한 예비 연구)

  • Jae Yun Lee
    • Journal of the Korean Society for Library and Information Science
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    • v.58 no.2
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    • pp.121-150
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    • 2024
  • This paper is a preliminary study to consider the introduction of structured abstracts to Korean journals in the field of library and information science (LIS). To achieve this, we first identified examples of overseas LIS journals that have adopted structured abstracts, and analyzed the occurrence statistics of each section of structured abstracts for four journals published by Emerald Publishing that emphasize the value of research and practical/social implications sections. Considering the inherent drawback of longer abstracts, we examined the abstract policies and the abstract lengths of recently published articles of four Korean LIS journals. Additionally, we identified some cases where essential elements were missing from the Korean abstracts. Finally, a proposal for the adoption of structured abstracts for Korean LIS journals was presented, focusing on the length of abstracts and the organization of sections. It is expected that the adoption of the proposed structured abstract format will facilitate the utilization of Korean LIS research in the library and information management practice.

A Study on the Structure and Character of Abstracts (초록의 구조와 속성에 관한 연구)

  • Chang, Woo-Kwon
    • Proceedings of the Korean Society for Information Management Conference
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    • 2015.08a
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    • pp.83-86
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    • 2015
  • 이 연구는 정보관리학회지에 실린 국문과 영문 초록을 중심으로 초록의 구조와 그 속성을 파악하고자 한다. 이를 위해 학회지의 저자초록을 중심으로 편집규정, 초록의 종류, 구조, 문장분석, 내용분석, 문체분석을 하였다. 대상초록은 1997년과 2014년에 간행된 학회지 논문이다. 그 결과 1997년까지는 지시적 초록이었으며 이후 대부분 정보적 초록으로 나타났다. 초록의 내용은 1997년에는 수록 논문의 68%가 목적 범위와 연구방법으로, 2014년에는 84%가 목적 범위/연구방법/결과 결론으로 나타났다.

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Usability Analysis of Structured Abstracts in Journal Articles for Document Clustering (문서 클러스터링을 위한 학술지 논문의 구조적 초록 활용성 연구)

  • Choi, Sang-Hee;Lee, Jae-Yun
    • Journal of the Korean Society for information Management
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    • v.29 no.1
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    • pp.331-349
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    • 2012
  • Structured abstracts have been regarded as an essential information factor to represent topics of journal articles. This study aims to provide an unconventional view to utilize structured abstracts with the analysis on sub fields of a structured abstract in depth. In this study, a structured abstract was segmented into four fields, namely, purpose, design, findings, and values/implications. Each field was compared in the performance analysis of document clustering. In result, the purpose statement of an abstract affected on the performance of journal article clustering more than any other fields. Furthermore, certain types of keywords were identified to be excluded in the document clustering to improve clustering performance, especially by Within group average clustering method. These keywords had stronger relationship to a specific abstract field such as research design than the topic of an article.

Abstracts in Medical Science Journals: An Analysis of Subheadings in Structured Abstracts (의학 저널에서 사용되는 구조적 초록의 소표제들에 관한 분석)

  • Kim, Eungi
    • Journal of Korean Library and Information Science Society
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    • v.47 no.1
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    • pp.199-216
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    • 2016
  • This study aimed to investigate the current uses of subheadings that appear in medical science journal abstracts and to discuss its potential implications for medical science from the perspectives of library and information science. To conduct this study, the following nine sub-fields in medical science were selected: cancer, ethics, genetics, infectious disease, neurology, pediatrics, immunology, psychiatry, and cardiology. Random sample data were drawn based on the years 2010 to 2015 from the PubMed database. This study investigated the extent of the uses of subheadings, variants of subheadings, and common formation of subheadings with the help of a frequency analysis. The specific findings of this study are summarized as the following: 1) more traditional abstracts are used across almost all sub-fields of medical science; 2) on average, 4.1 subheadings were used in the sample dataset; and 3) the most frequently used set of subheadings is OBJECTIVES, METHODS, RESULTS, and CONCLUSIONS. This subheading set appears to be the de facto standard across all medical science journals. The analysis of subheadings in structured abstracts and the issues raised in this study can be beneficial for journal editors and other academics in medical science as well as library and information science.

Scientific Paper Abstract Corpus and Automatic Abstract Structure Parsing using Pretrained Transformer (과학 논문 초록 말뭉치 구축 및 선학습 트랜스포머 기반 초록 자동구조화 방법)

  • Kim, Seokyung;Cho, Yunhui;Heo, Sehun;Jung, Sangkeun
    • Annual Conference on Human and Language Technology
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    • 2020.10a
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    • pp.280-283
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    • 2020
  • 논문 초록은 논문의 내용을 요약해 제시함으로써 독자들의 연구결과물에 대한 빠른 검색과 이해를 도모한다. 초록의 구성은 대부분 전형적인 경우가 많기 때문에, 초록의 구조를 자동 분석하여 색인해두면 유사구조 초록을 검색하거나 생성하는 등의 연구효율화에 기여할 수 있다. 허세훈 외 (2019)는 초록 자동구조화를 위한 말뭉치 SPA2019 및 기계학습기반의 자동구조화 방법을 제시하였다. 본 연구는, 기존 SPA2019 의 구조화 오류를 바로잡고, SPA2019 에서 추출한 1,346 개의 초록데이터와 2,385 개의 초록데이터를 추가한 SPA2020 말뭉치를 새로이 소개한다. 또한, 다양한 선학습 기반 트랜스포머들을 활용하여 초록 자동구조화를 수행하였으며, 그 결과 BERT-0.86%, RoBERTa-0.86%, ALBERT-0.84%, XLNet-0.86%, DistilBERT-0.85% 등의 자동구조화 성능을 보임을 확인하였다.

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An Analysis of Move Patterns in Abstracts of Social Sciences Research Articles

  • Kim, Eungi
    • Journal of Korean Library and Information Science Society
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    • v.45 no.2
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    • pp.283-309
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    • 2014
  • A rhetorical segment in traditional abstract displaying a sign of particular function is frequently referred to as a move. One of the most common moves is the Background, Aim, Method, Results, and Conclusion (BAMRC). The objective of this paper is to investigate the move patterns of research article abstracts in the field of social sciences based on BAMRC moves. Using the Scopus bibliographic database, a total of 467 abstracts from 298 research journals in the field of social sciences were analyzed. The result showed a wide range of move patterns. The implication of the result of this study suggests the existing traditional abstracts in social sciences might not be sufficiently "informative" due to missing moves and due to various move orders. To this end, automatically mapping moves in traditional abstracts to sub-headings in structured abstracts can be a more challenging task, requiring additional procedures to resolve these types of compatibility issues. Future studies can compare this study's result to other fields or disciplines within social sciences in order to find a more precise nature of abstracts in the field of social sciences.

A Study on the Structure and Content of Abstracts: Focused on Journal of the Korean Society for Information Management (초록의 구조와 내용에 관한 연구: 정보관리학회지를 중심으로)

  • Chang, Woo-Kwon
    • Journal of the Korean Society for information Management
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    • v.33 no.3
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    • pp.107-131
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    • 2016
  • This study aims to identify the characteristics of abstracts by analyzing the status of abstracts published in 'Journal of the Korean Society for Information Management.' To this end, the study analyzed the components of and the types of abstracts. Target abstracts were those published in the journal from 1984 to 2015. The journal published 1,168 articles with indicative abstracts accounting for 96.6%, informative abstracts 3.4%, and abstracts written in both English and Korean 99.5%. As for research methods, case study through literature review was 52.8%, surveys 21.1%, and experimentation 26.1%. The percentage of abstracts consisting of one paragraph was 92.1%, more than two paragraphs were 7.9%, fewer than 5 sentences were 79%, and 6 sentences or more were 21%. The use of the first person was 90.5%. In terms of topic areas, library and information center management was 19.4%, information services 17.3%, information technology 16.2%, information retrieval 15.1%, and informetrics 9.6%, etc.

Designing and Evaluating Digital Video Storyboard Surrogates (디지털 영상 초록의 설계와 평가에 관한 연구)

  • Kim, Hyun-Hee;Kim, Yong-Ho;Ko, Su-Hyun
    • Journal of Korean Library and Information Science Society
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    • v.38 no.4
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    • pp.463-480
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    • 2007
  • This study examines the design and utilization of video storyboard surrogates in the digital video libraries. To do this, first we constructed the arrangement model of key-frames for storyboard based on the FRBR model, image communication and PRECIS Indexing theories and evaluated the model using 6 sample videos and 26 participants. The study results show that the video storyboard surrogates based on the arrangement model has a higher accuracy value in terms of summary extraction than that of the sequential video storyboard. Moreover, watching both types of video storyboard one after another, especially browsing the sequential video storyboard first and then the arrangement model-based one, produces a remarkable increase in accuracy value of summary extraction. The study proposes two methods of utilizing the video storyboard surrogates in the digital video libraries: Designing a video browsing interface where users can use the sequential storyboard as a default and then the arrangement model-based one for re-watching; and utilizing the arrangement model-based storyboard as structured match sources of image-based queries.

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An Analysis of Current States and Information Content of Author Abstracts in the Field of Social Sciences (한글 초록의 현황과 내용분석 - 사회과학분야 저자초록을 중심으로 -)

  • Chang Hye-Rhan
    • Journal of the Korean Society for Library and Information Science
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    • v.30 no.1
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    • pp.35-48
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    • 1996
  • To understand the present states of abstracting and to investigate contents of abstracts, a survey content analysis was done in the field sciences. Of the 102 nation wide scholarly journals examined $54(53\%)$ included abstracts with articles. 33 had abstracts in Korea Among the 34 journals with editorial statements about abstracting only 13 had suggestions about abstract contents. Based on the investigation, 4 disciplines having abstracts mostly was selected and 149 abstracts in the 4 major journals in each discipline were sampled. Complete abstracts were ama;uzed according to 12 variables covering required content elements, unnecessary statements, and writing styles. Statistical characteristics of the abstracts is varied among disciplines and the scope is very wide. Particularly number of paragraph and number of character per abstract is much different from the standards. The content analysis showed $51\%$ of the abstracts were incomplete. $39\%$ of the abstracts did not mention research method used. 59 abstracts included unnecessary statements. Writing stle analysis also showed many faults both in the pronoun abuse and the misuse of voice or tense. Korean author abstracts in social science scholarly journals have deficiencies in linguistic structures as well as in contents and style.

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Analysis of the Abstract Structure in Scientific Papers by Gifted Students and Exploring the Possibilities of Artificial Intelligence Applied to the Educational Setting (과학 영재의 논문 초록 구조 분석 및 이에 대한 인공지능의 활용 가능성 탐색)

  • Bongwoo Lee;Hunkoog Jho
    • Journal of The Korean Association For Science Education
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    • v.43 no.6
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    • pp.573-582
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    • 2023
  • This study aimed to explore the potential use of artificial intelligence in science education for gifted students by analyzing the structure of abstracts written by students at a gifted science academy and comparing the performance of various elements extracted using AI. The study involved an analysis of 263 graduation theses from S Science High School over five years (2017-2021), focusing on the frequency and types of background, objectives, methods, results, and discussions included in their abstracts. This was followed by an evaluation of their accuracy using AI classification methods with fine-tuning and prompts. The results revealed that the frequency of elements in the abstracts written by gifted students followed the order of objectives, methods, results, background, and discussions. However, only 57.4% of the abstracts contained all the essential elements, such as objectives, methods, and results. Among these elements, fine-tuned AI classification showed the highest accuracy, with background, objectives, and results demonstrating relatively high performance, while methods and discussions were often inaccurately classified. These findings suggest the need for a more effective use of AI, through providing a better distribution of elements or appropriate datasets for training. Educational implications of these findings were also discussed.