초록

구조적 초록은 학술 논문의 주제를 표현하는 역할을 하여 학술 논문을 처리하는데 중요한 요소로 인식되어왔다. 이 연구에서는 구조적 초록을 구성하는 세부 필드의 속성을 4개로 분석하고 초록의 구조를 활용하여 문서 클러스터링에 적용할 수 있는 가능성을 고찰고자 하였다. 구조적 초록의 필드 속성을 문서 클러스터링에 적용한 결과 클러스터링 기법간의 편차가 있었으나 연구 목적이 제공하는 정보량에 비해 주제성이 커서 클러스터링 성능에 가장 큰 영향을 미치고 있는 것으로 나타났다. 또한 분석 결과 특정 필드에 특화되어 출현하는 필드 종속적인 단어가 발생하는 것으로 나타나 필드 종속적인 단어를 배제하고 집단내 평균연결 기법을 적용하였을 때는 클러스터링의 성능이 개선되는 것으로 분석되었다.

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.

초록

Abstract

In this study, research topic areas in Korean and American medical schools were analyzed to detect each nation’s major research areas. CLINICAL NEUROLOGY was identified as the Korean researchers’ major subject area by the total number of journals and ‘RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING’ was the most major area by the total number of articles. On the other hand, American researchers’ top major subject area was the one same area according to all analysis, BIOCHEMISTRY & MOLECULAR BIOLOGY. In addition, Korean researchers showed publishing tendency related to journal preference in several subject areas.

초록

오픈액세스 학술지는 무료로 원문에 접근할 수 있다는 특성을 부각시키면서 학술 연구자들이 학술정보를 찾는 주요 정보서비스로 자리를 잡아가고 있다. 그러나 최근 들어 정보환경이 변화하면서 오픈액세스 학술지 서비스의 실효성을 확보하기 위해서 서비스의 개선과 확장에 대한 필요성이 대두되고 있다. 이 연구에서는 이와 같은 환경적 변화를 반영하여 차세대 오픈액세스 학술지 서비스에 대한 방안을 기존 학술정보서비스의 서비스 요소를 분석하여 도출하고자 하였다. 분석결과 기존 학술정보서비스에서는 이용자의 참여를 유도하는 서비스가 부족한 것으로 나타났고 개방성 역시 미흡한 것으로 나타났다. 오픈액세스 차세대 모형을 위해 제시된 요소는 총 4개 영역으로 학술논문 구성 요소별 제공 및 멀티미디어 제공, 부가 정보 검색, 개방형 학술정보 공유 서비스, 모바일 서비스 등이다.

Abstract

Open access journal has been one of the major academic information sources for researchers characterizing itself as free resource. Recently, as competition among academic information service provides becomes intense, open access journal also needs to enhance its service and expand information service function. This study aims to propose service features for next generation service of open access journals by analyzing service features of leading journal database services. As a result, four service features are suggested such as journal article components and multimedia features, expanded searching features, social service features and mobile information service.

초록

Abstract

The purpose of this study is to identify topic areas of academic library research using two informetric methods; word clustering and Pathfinder network. For the data analysis, 139 articles published in major library and information science journals from 2005 to 2009 were collected from the Korean Science Citation Index database. The keywords that represent research topics were gathered from two sections: an abstract and titles in references. Results showed that reference titles usefully represent topics in detail, and combining abstracts and reference titles can produce an expanded topic map.

초록

Abstract

Since the 1990s, informetrics has grown in popularity among information scientists. Today it is a general discipline that comprises all kinds of metrics, including bibliometrics and scientometrics. To illustrate the dynamic progress of this field, this study aims to identify the structure and infrastructure of the informetrics literature using statistical and profiling methods. Informetrics literature was obtained from the Web of Knowledge for the years 2001-2010. The selected articles contain least one of these keywords: ‘informetrics’, ‘bibliometrics’, ‘scientometrics’, ‘webometrics’, and ‘citation analysis.’ Noteworthy publication patterns of major countries were identified by a statistical method. Intellectual structure analysis shows major research areas, authors, and journals.