바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

A Study on Frequency of Subject on Content of Thesis in Field of Science and Technology

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2008, v.25 no.1, pp.191-210
https://doi.org/10.3743/KOSIM.2008.25.1.191


  • Downloaded
  • Viewed

Abstract

We would generally use subject terms such as subject indexing for searching and accessing documents. So then, there must be any relationship between document's full-text and its subject terms. This study is started in this question. Master's theses in field of science and technology are worked with because full-text is relatively formatted. This study is to study locations of subject term on Thesis, distribution patterns of subject terms on content of full-text; ‘Contents’, ‘Introduction’, ‘Theory’, ‘Main subject’, ‘Conclusion’ and ‘References’. Thesis were averagely composed of 1226.3 terms. And Subject terms were averagely compose of 12~13 terms. As a result, ‘Contents’ and ‘Introduction’ have had the most frequency of subject.

keywords
digital content, table of contents, subject term, frequency of subject, division of full-text, 디지털콘텐트, 내용목차, 주제어, 주제어 분포도, 전문 내용위치

Reference

1.

국립중앙도서관. 국립중앙도서관 주제명표목표 개발. http://www.nl.go.kr.

2.

국민대학교. KLT: Korean Language Tech- nology: (구)HAM. http://nlp.kookmin.ac.kr/HAM/kor/index.html.

3.

김광해. (1987). 유의어, 반의어 사전:한샘.

4.

백지원. (2002). 용어분류의 비교연구 (19-26). 제9회 한국정보관리학회 학술대회논문집.

5.

안희국. (2005). 문서 분류를 위한 문장 응집도와 주어 주도의 주제어 추출 (163-165). 한국컴퓨터종합학술대회 논문집.

6.

유영준. (2003). 문헌정보학의 지식 구조에 관한 연구. 정보관리학회지, 20(3), 277-297.

7.

이강일. (2005). 주제어와 미분류 문서들을 이용한 문서의 자동 분류 방법 (592-594). 한국컴퓨터종합학술대회.

8.

이경찬. (2002). 범주 대표어의 가중치 계산 방식에 의한 자동 문서 분류 시스템 (475-477). 한국정보과학회 봄 학술발표논문집.

9.

이영숙. (2001). 계층적 분류체계를 위한 자동분류 기법에 관한 연구 (-). 제8회 한국정보관리학회 학술대회 논문집.

10.

이창범. (2002). 주성분 분석을 이용한 문서 주제어 추출. 정보과학회논문지 : 소프트웨어 및 응용, 29(10), 747-754.

11.

이혜영. (2007). 학위논문의 주제어 분포에 관한 연구 (-). 제14회 한국정보관리학회 학술대회 논문집.

12.

이혜영. (2003). 잠재적의미색인을 이용한 더블린코어 메터데이터 유사도 판단기법.

13.

한광록. (2004). 주제어구 추출과 질의어 기반 요약을 이용한 문서 요약. 정보과학회논문지 : 소프트웨어 및 응용, 31(4), 488-497.

14.

황재영. (2003). 자동문헌분류를 위한 대표색인어 추출에 관한 연구 (55-64). 제10회 한국정보관리학회 학술대회 논문집.

15.

Amini, M. R.. (2002). The Use of Unlabeled Data to Improve Super- vised Learning for Text Summarization (105-112). Procedding of ACM SIGIR'02.

16.

Battiti, R.. (1994). Using Mutual Information for Selection Features in Supervised Neural Net Learning. IEEE Trans. Neural Networks, 5, 537-550.

17.

Chuang, W. T.. (2000). Extracting Sentence Segments for Text Summa- rization: A Machine Learning Approach (152-159). Proceeding of ACM SIGIR'00.

18.

Craven, Timothy C.. (2000). Abstracts Produced Using Computer Assistance. Journal of the American Society for Information Science, 51(8), 745-756.

19.

Damerau,Fred J.. (1993). Generation and eval- uating domain-oriented multi-word terms from texts. Information Processing and Management, 29(4), 433-447.

20.

Gil-Leiva, I.. (2007). Keywords given by authors of scien- tific articles in database descriptors. Journal of the American Society for Information Science and Technology, 58(8), 1175-1187.

21.

Heery, Rache. (1996). Review of Metadata Formal. Program, 30(4), 345-373.

22.

Kwak, N.. (1999). Improved Mutual Information Feature Selector for Neural Networks in Supervised Learning (1313-1318). Int. Joint Conf. on Neural Networks (IJCNN'99).

23.

Lange, Holley R.. (1997). Taming the Internet Metadata, A Work in Progress. Advances in Libra- rianship, 21, 47-72.

24.

Marshakova-Shaikevich, Irina. (2005). Biblio- metric Maps of Field of Science. Infor- mation Processing and Management, 41, 1534-1547.

25.

Moens, Marie-Francine. (2000). Text categorization: the assign- ment of subject descriptors to mag- azine articles. Information Processing & Management, 36(6), 841-861.

26.

Novovicova, Jana. (2004). Feature Selection Using Improved Mutual Information for Text Classification. LNCS, 3138, 1010-1017.

27.

Sano, Hikomaro. (1990). Facet Tabulation of Index Terms. Information Processing and Management, 25(4), 543-548.

28.

Silvester, June P.. (1993). An Operational System for Subject Switching Between Controlled Vacabularies. Information Processing and Management, 29(1), 47-59.

29.

Soucy, Pascal. (2003). Feature Selection Strategies for Text Categorization. LNAI, 2671, 505-509.

30.

Yang, Yiming. (1997). Comparative Study on Feature Se- lection in Text Categorization (412-420). Pro- ceedings of the 14th ICML97.

Journal of the Korean Society for Information Management