지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2009.12
- 수록면
- 638 - 644 (7page)
이용수
초록· 키워드
오류제보하기
With the advance of learning and a diversity of topics, researchers in each area feel keenly the need to precisely and quickly finding required information at any time. Also, previous data are getting more specific due to the development of science technology and Internet.
However recently there's appeared a problem of duplicate data between recent papers and previous ones because of insufficiency of systematic collection and management of new information about oriental medicine.
To solve the problem, it is very important to develop a system for eliminating the data duplication and arranging the order of published papers. Especially it is a priority to offer users quantitative analysis on papers which helps to see its own academic characteristics, research and writhing activities, and cited reference data in oriental medicine area.
To do this, the construction of a special system which can quantify the number of papers published by domestic researchers in a certain span of time, the distribution of references, and topic analysis is required. But, in most oriental medicine papers there are several different chinese characters that has the same pronunciation for a korean letter and there are no standards on making data entry of papers, so it takes much time and money to construct a citation index search system about oriental medicine papers.
This study presents a way of constructing the automatic mapping system that can compare and analyze duplicate data and then describe the result by building an effective reference extraction method and another way of correcting the wrong form of used chinese characters with oriental medicine dictionary.
With these new ways, data duplication on references and chinese character errors can be fixed. Under the situation that a number of references of newly published papers should continuously be extracted, it is considered that reducing a waste of money, time, and human resources can be possible by offering this new service for reference extraction.
However recently there's appeared a problem of duplicate data between recent papers and previous ones because of insufficiency of systematic collection and management of new information about oriental medicine.
To solve the problem, it is very important to develop a system for eliminating the data duplication and arranging the order of published papers. Especially it is a priority to offer users quantitative analysis on papers which helps to see its own academic characteristics, research and writhing activities, and cited reference data in oriental medicine area.
To do this, the construction of a special system which can quantify the number of papers published by domestic researchers in a certain span of time, the distribution of references, and topic analysis is required. But, in most oriental medicine papers there are several different chinese characters that has the same pronunciation for a korean letter and there are no standards on making data entry of papers, so it takes much time and money to construct a citation index search system about oriental medicine papers.
This study presents a way of constructing the automatic mapping system that can compare and analyze duplicate data and then describe the result by building an effective reference extraction method and another way of correcting the wrong form of used chinese characters with oriental medicine dictionary.
With these new ways, data duplication on references and chinese character errors can be fixed. Under the situation that a number of references of newly published papers should continuously be extracted, it is considered that reducing a waste of money, time, and human resources can be possible by offering this new service for reference extraction.
목차
Abstract
1. Preface
2. The Problems of the Reference Abstraction related to Oriental Medicine
3. The Proposals for Citation Reference Abstraction System
4. The Plan and Embodiment of Citation Reference Abstraction Comparison System
5. The Analysis of the results from the reference extraction System
6. Conclusion
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