生物医学领域多源文献数据学科映射方法优化研究  

Research on the Subject Mapping Methods Optimization of Multi-Sources Biomedical Literatures

作　　者：李晓瑛[1] 刘懿 李爱花 杨雪梅 唐小利[1] LI XiaoYing;LIU Yi;LI AiHua;YANG XueMei;TANG XiaoLi(Institute of Medical Information,Chinese Academy of Medical Sciences,Beijing 100020,P.R.China)

机构地区：[1]中国医学科学院医学信息研究所,北京100020

出　　处：《数字图书馆论坛》2023年第3期1-9,共9页Digital Library Forum

基　　金：中国医学科学院医学与健康科技创新工程重大协同创新项目“生物医学文献信息保障与集成服务平台”(编号:2021-I2M-1-033)资助。

摘　　要：针对生物医学领域多源文献数据分类体系不一致、学科归属判别困难的问题,在分析国内外主流文献分类体系内容结构与已有映射方法优缺点的基础上,制定生物医学领域分类体系映射规则,提出集语义自动匹配、文献分类数据验证、人工审核于一体的融合映射方法。最终分别建立国际三大分类体系Web of Science、Scopus、FOR中生物医学类目与教育部《研究生教育学科专业目录(2022年)》相关类目的语义映射关系,开展用于肿瘤专题文献篇级分类的国内外学科体系映射实践。研究成果能够促进国际学术成果的集中检索、分类组织、统计评价等科研管理与学术分析工作,并为我国学科专业目录调整、人才培养、科研布局等提供决策依据与信息支撑。Given the inconsistency and the difficulty in the subject attribution of dominant biomedical discipline classifications,outstanding discipline classifications and well-known mapping methods are first investigated,the semantic mapping principle and fusion method integrating automatic semantic matching,document classification data validation,and manual review are then proposed especially for biomedical discipline classifications.Diverse mappings are established between Web of Science,Scopus,and Fields of Research categories and biomedical items of Catalog of Postgraduate Education Disciplines and Specialities(2022)designed by Ministry of Education separately.Practical explorations including the mapping of domestic and international neoplasm classifications are also carried out.The research achievements can promote scientific research management and academic analysis work such as centralized retrieval,classified organization,and statistical evaluation of international academic achievements,and provide decision-making basis and information support for the adjustment of disciplines and professional catalogs,talent cultivation,and scientific research layout in China.

关 键 词：语义映射 学科归属 分类体系 映射规则 

分 类 号：G250[文化科学—图书馆学]