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Scientific Literature Ranking Considering Latent Citations

잠재적인 참조를 고려한 논문 랭킹 방안

  • 황세미 (한양대학교 전자컴퓨터통신공학과) ;
  • 배덕호 (한양대학교 전자컴퓨터통신공학과) ;
  • 김상욱 (한양대학교 정보통신대학 정보통신학부)
  • Received : 2011.10.05
  • Accepted : 2011.11.24
  • Published : 2012.02.29

Abstract

In this paper, to solve a vested interests of old papers in scientific literature ranking, we propose novel method that considers not only the current citations from other published papers but also the latent citations of papers to be published in the future. Furthermore, the method also considers the relevance of contents in the citing and cited papers. Finally, we verify the superiority of our proposed method through extensive experiments.

본 논문에서는 예전 논문의 기득권 현상을 해결하기 위해 한 논문이 현재 다른 논문들로부터 받은 참조뿐만 아니라, 해당 논문의 잠재적인 참조도 함께 고려하는 랭킹 방안을 제안한다. 더 나아가, 논문의 정확한 랭킹 측정을 위해 두 논문 간의 내용 연관성도 함께 고려하는 랭킹 방안을 제안한다. 마지막으로, 실제 논문 데이터를 이용한 다양한 실험들을 통해, 제안 방안의 우수성을 입증한다.

Keywords

References

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