• DocumentCode
    2447472
  • Title

    A Semantic Query Tool for Evaluation Expert Knowledge Base

  • Author

    Zhang, Xiaoming ; Ma, Hongxia ; Fu, Dong

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • fYear
    2012
  • fDate
    1-3 Nov. 2012
  • Firstpage
    260
  • Lastpage
    263
  • Abstract
    Peer review is the most important aspect of the project evaluation. The review comments of evaluation experts are important foundation for scientific decision-making. Therefore, how to select proper peer review experts is the key issue. This paper proposes an approach to select experts in a semantic way. Based on the semantic web technologies, an architecture is presented with an expert knowledge base and an expert semantic model. After the analysis of possible social relations between project applicants and evaluation experts, the expert semantic model is illustrated. Finally, a semantic query tool prototype is designed to show the effectiveness of the proposed approach. This tool will help to improve scientificalness, fairness and normativeness of project evaluations.
  • Keywords
    ontologies (artificial intelligence); query processing; reviews; semantic Web; expert knowledge base; expert semantic model; peer review experts; project evaluation; scientific decision-making; semantic Web technologies; semantic query tool prototype; Databases; Educational institutions; Knowledge based systems; OWL; Prototypes; Semantics; SPARQL; evaluation experts; ontology; semantic query;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems (ICINIS), 2012 Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4673-3083-1
  • Type

    conf

  • DOI
    10.1109/ICINIS.2012.60
  • Filename
    6376537