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An interval fuzzy ontology based peer review assignment method

  • Na Xue*
  • , Jin Xing Hao
  • , Su Ling Jia
  • , Qiang Wang
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Peer review problem is widely applied in query answering, making research grants, article judgment and other situations. The existing researches treat this problem as either an information retrieval or an optimization problem. However, various constraints often been ignored through information retrieval methods. And the maximization matching scores is computed subjectively. Consequently, we introduce semantic matching method in the problem solution and define the Interval Fuzzy Ontology (IFO), aimed to computing the similarity of research subjects. This paper illustrates a novel approach based on academic discipline ontology and interval fuzzy sets theory to modeling the topics of papers or proposals and the expertise for automatically allocating experts to carry out the most appropriate tasks according to their specific research field. Meanwhile, several constraints are contained to optimize the assignment.

Original languageEnglish
Title of host publicationProceedings - 9th IEEE International Conference on E-Business Engineering, ICEBE 2012
Pages55-60
Number of pages6
DOIs
StatePublished - 2012
Event9th IEEE International Conference on E-Business Engineering, ICEBE 2012, Including, SOAIC 2012, EM2I 2012, SOKMBI 2012, ASOC 2012 - Hangzhou, China
Duration: 9 Sep 201211 Sep 2012

Publication series

NameProceedings - 9th IEEE International Conference on E-Business Engineering, ICEBE 2012

Conference

Conference9th IEEE International Conference on E-Business Engineering, ICEBE 2012, Including, SOAIC 2012, EM2I 2012, SOKMBI 2012, ASOC 2012
Country/TerritoryChina
CityHangzhou
Period9/09/1211/09/12

Keywords

  • Interval Fuzzy Ontology
  • Interval-valued Fuzzy Sets
  • Peer Review
  • Semantic Matching

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