“生理学和整合生物学”学科同行评议专家选择辅助系统及专家库系统建设

随着我国科研投入的不断加大和生理与整合生物学学科科研实力的增强，课题申请书数量不断攀升。本学科研究覆盖领域广的特点和申请书数量的增长给目前的人工选择同行评审专家的管理方式带来极大压力，迫切需要引入学科关键词基础上的人工智能遴选技术。本课题拟.以基金委和教育部现有学科分类体系为指导；以国内外生理学和整合生物学教科书名词注释和中国大百科全书（编篡中）中生理学科部分的名词解释为主要蓝本；发挥生理学会专家覆盖面广的优势；建立能够科学涵盖生理学和整合生物学各个领域、终端分级体量基本相似、反映学科发展最新动向、国内外同行评审专家认可的、可以对基金申请书与同行评审专家的研究领域进行描述、定位的关键词分级数据库。为建立申请书与评审专家的自动匹配软件，提高指派评议人的工作效率和准确性，打下基础。

Along with the increasing in national scientific research investment and strength on physiological and integrative biology discipline scientific research, the number of project application is rising. The characteristics of this research covering wide areas and the increasing amount of applications to the present bring great pressure to the artificial selection of peer review of the expert management, which urgently need subject/key words based on artificial intelligence selection technology. In this project, with the existing classification system as a guide from the foundation of national natural and science and the Ministry of education; with the noun annotation from domestic and international physiology and integrative biology textbook and the Encyclopedia of China ( compilation of Physiology ) in part of the explanation of terms as main blueprint; to play a Physiological Society experts’ covering a wide range of advantages; we will establish the subject/key words’ hierarchical database covering the scientific fields of physiology and integrative biology and terminal classification similar subjects reflect the latest trend of the development, domestic and international peer review of the expert authorized, able to reflect and match the research areas of the application and the peer review’s experts. This study will lay the foundation for further establishment of automatic matching software for the application and evaluation expert, and then improvement of the assignment judge efficiency and accuracy.