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A Large-scale Test Set for Author Disambiguation

저자 식별을 위한 대용량 평가셋 구축

  • 강인수 (경성대학교 컴퓨터정보학부) ;
  • 김평 (한국과학기술정보연구원 정보기술연구실) ;
  • 이승우 (한국과학기술정보연구원 정보기술연구실) ;
  • 정한민 (한국과학기술정보연구원 정보기술연구실) ;
  • 류범종 (한국과학기술정보연구원 정보기술연구실)
  • Published : 2009.11.28

Abstract

To overcome article-oriented search functions and provide author-oriented ones, a namesake problem for author names should be solved. Author disambiguation, proposed as its solution, assigns identifiers of real individuals to author name entities. Although recent state-of-the-art approaches to author disambiguation have reported above 90% performance, there are few academic information services which adopt author-resolving functions. This paper describes a large-scale test set for author disambiguation which was created by KISTI to foster author resolution researches. The result of these researches can be applied to academic information systems and make better service. The test set was constructed from DBLP data through web searches and manual inspection, Currently it consists of 881 author names, 41,673 author name entities, and 6,921 person identifiers.

Keywords

Author Disambiguation;Test Set for Author Disambiguation;Test Set Construction

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Cited by

  1. A Comparative Study on Authority Records for Japanese Writers in Japan and the United States of America vol.48, pp.1, 2014, https://doi.org/10.4275/KSLIS.2014.48.1.149