Earticle

현재 위치 Home

A Method for the Recommendation of Similar Documents and Related Researchers in National R&D Information Collections

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSEIA) 바로가기
  • 간행물
    International Journal of Software Engineering and Its Applications SCOPUS 바로가기
  • 통권
    Vol.10 No.1 (2016.01)바로가기
  • 페이지
    pp.119-128
  • 저자
    Heejun Han, Heeseok Choi, Jaesoo Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A268873

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

원문정보

초록

영어
The users of academic databases and R&D information often use search services to obtain necessary data for their studies. Most web users create various search queries and request these needed information from the system, and as a final destination of searching selected information lists and obtaining information, users are moved to the detailed page of the corresponding information. Similarly, in cases of academic information services providing journal and patent information, the final destination of the user is the specific metadata information page or the full article page, and in this case, providing other similar types of academic information and the names of researchers in other related fields is essential for satisfying the information requirements of the users. In case of the NTIS (National Science and Technology Information Service), it provides search services on national R&D information (tasks, participating personnel, research products, facilities and equipment, etc.), but lacks provision of similar documents within the same DB or among different DBs. In this article, the authors explain user queries and search items provided by the search engine, serviced by the NTIS for data categorized as research products including journals, patents, research reports, and trend analyses, and search service methods for listing similar documents within the same or different contents, and names of researchers in related fields using boosting technologies. This way, the R&D information desired by the user may be efficiently provided in the final service screen, which can reduce repeated efforts on searching.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1. NTIS (National Science & Technology Information Service)
  2.2. FAST Search Engine
  2.3. Finding Similar Document in NDSL
 3. Proposed Method for Finding Similar Documents and Related Researchers
 4. Conclusions
 References

저자

  • Heejun Han [ Korea Institute of Science and Technology Information, South Korea ]
  • Heeseok Choi [ Korea Institute of Science and Technology Information, South Korea ]
  • Jaesoo Kim [ Korea Institute of Science and Technology Information, South Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Software Engineering and Its Applications
  • 간기
    월간
  • pISSN
    1738-9984
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.10 No.1

    피인용수 : 0(자료제공 : 네이버학술정보)

    함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.

      페이지 저장