基于海量数字资源的科研关系揭示方法研究述评  

Review of the Revealing Method of Scientific Research Relationship Based on Massive Digital Resources

作　　者：杨瑞仙[1] 林进祯 

机构地区：[1]郑州大学信息管理学院,河南郑州450001

出　　处：《情报理论与实践》2015年第8期95-99,共5页Information Studies:Theory & Application

基　　金：国家自然科学基金项目"基于海量数字资源的科研关系网络构建研究"(项目编号:71273251);中国博士后基金项目"基于引文的科研关系组织及其服务研究"(项目编号:2014M561026)的成果

摘　　要：为了更深层次地全面揭示科研实体关系,文章系统梳理和分析了国内外数字资源科研关系揭示方法,即引文分析、共现分析、聚类分析、语义和本体、关联数据这5种方法,并对现有的研究方法进行了述评,提出未来应从科研关系揭示原则、科研实体识别与抽取、揭示方法的完善和揭示工具的辅助、深层次科研关系揭示几个方面开展相关研究。In order to fully reveal the deeper scientific research relationship,this paper systematically summarizes and analyzes the revealing methods of scientific research relationship based on massive digital resources at home and abroad,namely citation analysis,co-occurrence analysis,cluster analysis,semantic and ontology,and associated data. Then,the paper reviews the existing research methods and proposes to develop the related research from aspects of the revealing principle of scientific research relationship,recognition and extraction of research entity,improvement of revealing method and supplementary of revealing tool,and deep revelation of scientific research relationship.

关 键 词：科研关系 语义关联 聚类分析 述评 

分 类 号：G353.1[文化科学—情报学]