基于本体语义增强和多源数据融合的石墨烯医学应用前沿探测  

Frontier Detection of the Medical Application of Graphene Based on the Integration of Ontological Semantic Enhancement and Multi-sources Data

作　　者：靳杨 徐路路 JIN Yang;XU Lulu(Beijing Anzhen Hospital Affiliated to Capital University of Medical Sciences, Beijing 100029,China;Department of Information Resources Management, Nankai University, Tianjin 300071,China)

机构地区：[1]首都医科大学附属北京安贞医院,北京100029 [2]南开大学信息资源管理系,天津300071

出　　处：《医学信息学杂志》2019年第2期70-74,85,共6页Journal of Medical Informatics

基　　金：国家自然基金面上项目"LPR6基因调控区变异调控血管内皮细胞Wnt通路的机制研究"(项目编号:81770353)

摘　　要：提出基于WordNet本体语义增强和多源数据主题贡献度分析的科学研究前沿探测方法,介绍相关研究情况、方法框架并进行实证分析,采用论文、基金项目及专利等多源数据综合识别出石墨烯医学应用领域未来发展方向。实验表明该方法能够弥补利用单一数据源进行医学前沿探测的不足,为石墨烯医学发展架构调整提供参考。The paper puts forward the scientific study frontier detection method based on WordNet ontological semantic enhancement and analysis of the contribution degree of multi-sources data topic, introduces related study situation and method framework, performs empirical analysis, as well as identifies the future development direction of graphene in the medical application field by using multi-sources data such as papers, fund projects and patents comprehensively. Experiments show that the method is able to make up for the defects in the implementation of medical frontier detection with single-sources data, and provides references for the adjustment of the medical development architecture of graphene.

关 键 词：本体语义 多源数据 石墨烯医学探测 科学研究前沿 

分 类 号：R-056[医药卫生]