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

Sanghee Choi (최상희); Lee, Jae Yun (이재윤)

doi:10.3743/KOSIM.2012.29.1.331

Usability Analysis of Structured Abstracts in Journal Articles for Document Clustering

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2012, 29(1), pp.331~349
DOI : 10.3743/KOSIM.2012.29.1.331
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : March 10, 2012
Accepted : March 21, 2012
Published : March 30, 2012

Sanghee Choi ¹, Lee, Jae Yun ²

¹대구가톨릭대학교
²경기대학교

Accredited

ABSTRACT

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.

KEYWORDS

structured abstract, journal abstract, document clustering, clustering feature, clustering method

Citation status

* References for papers published after 2023 are currently being built.

[journal] 고영만 / 2011 / A Study on the Knowledge Organizing System of Research Papers Based on Semantic Relation of the Knowledge Structure / 정보관리학회지 / 한국정보관리학회 28(1) : 145~170

[journal] 윤보현 / 2011 / Analysis of Feature Combination in Document Clustering using Named Entities / 한국정보기술학회논문지 / 한국정보기술학회 9(3) : 199~206

[confproc] 이재윤 / 2001 / 클러스터링 성능 평가를 위한 비편향적 척도의 개발 / 한국정보관리학회 : 167~172

[journal] 조현양 / 2004 / The Experimental Study on the Relationship between Hierarchical Agglomerative Clustering and Compound Nouns Indexing / 한국문헌정보학회지 / 한국문헌정보학회 38(4) : 179~192

[journal] Chen, C. / 2010 / An integration of WordNet and fuzzy association rule mining for multi-label document clustering / Data & Knowledge Engineering 69(11) : 1208~1226

[journal] 최상희 / 2010 / Document Clustering Using Reference Titles / 정보관리학회지 / 한국정보관리학회 27(2) : 241~252

[journal] Hahs-Vaughn, D. L. / 2009 / Quality of abstracts in articles submitted to a scholarly journal : A mixed methods case study of the journal Research in the Schools / Library & Information Science Research 32(1) : 53~61

[journal] Hartley, J. / 1997 / Is it appropriate to use structured abstracts in social science journals? / Learned Publishing 10(4) : 313~317

[journal] Hartley, J. / 1998 / Is it appropriate to use structured abstracts in non-medical science journals? / Journal of Information Science 24(5) : 359~364

[journal] Hartley, J. / 1999 / Applying ergonomics to Applied Ergonomics / Applied Ergonomics 30(6) : 535~541

[journal] Hartley, J. / 2000 / Clarifying the abstracts of systematic reviews / Bulletin of the Medical Library Association 88(4) : 332~337

[journal] Hartley, J. / 2003 / Improving the clarity of journal abstracts in psychology / Science Communication 24(3) : 366~379

[journal] Nakayama, T / 2005 / Adoption of structured abstracts by general medical journals and format for a structured abstract / Journal of the Medical Library Association 93(2) : 237~242

[journal] Sharma, S. / 2006 / Structured abstracts: Do they improve the quality of information in abstracts? / American Journal of Orthodontics and Dentofacial Orthopedics 130(4) : 523~530

[journal] Stevenson, H. A. / 2009 / Structured abstracts: Do they improve citation retrieval from dental journals? / Journal of Orthodontics 36(1) : 52~60

[journal] Zhu, S. / 2009 / Field independent probabilistic model for clustering multi-field documents / Information Processing and Management 45(5) : 555~570

KJCKorea
Journal Central

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Usability Analysis of Structured Abstracts in Journal Articles for Document Clustering

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Usability Analysis of Structured Abstracts in Journal Articles for Document Clustering

ABSTRACT

KEYWORDS

Statistics

Tools

Issue List

Citation status

KCI Citation Counts (15)

REFERENCES (16) * References for papers published after 2023 are currently being built.

Search PDF

Citation

* References for papers published after 2023 are currently being built.