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Automatic Recommendation of Panel Pool using a Probabilistic Ontology and Researcher Networks

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2007, 24(3), pp.43~65
  • DOI : 10.3743/KOSIM.2007.24.3.043
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : May 6, 2007
  • Accepted : June 30, 2007
  • Published : September 30, 2007

JungYeoun Lee 1 SukKyung Shin 2 Lee, Jae Yun 3 Hanmin Jung 4 In-Su Kang 4

1나사렛대학교
2한국학술진흥재단
3경기대학교
4한국과학기술정보연구원

Accredited

ABSTRACT

Automatic Recommendation System of Panel pool should be designed to support universal, expertness, fairness, and reasonableness in the process of review of proposals. In this research, we apply the theory of probabilistic ontology to measure relatedness between terms in the classification of academic domain, enlarge the number of review candidates , and rank recommendable reviewers according to their expertness. In addition, we construct a researcher network connecting among researchers according to their various relationships like mentor, coauthor, and cooperative research. We use the researcher network to exclude inappropriate reviewers and support fairness of reviewer recommendation process. Our methodology recommending proper reviewers is verified from experts in the field of proposal examination. It propose the proper method for developing a resonable reviewer recommendation system.

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