文章摘要
隗玲,胡正银,庞弘燊,覃筱楚,郭红梅,方曙.基于"主语-谓语-宾语"三元组的知识发现研究——以诱导多能干细胞领域为例[J].数字图书馆论坛,2017,(9):28~34
基于"主语-谓语-宾语"三元组的知识发现研究——以诱导多能干细胞领域为例
Study on Knowledge Discovery Based on "Subject-Predication-Object" Predications: A Case Study of Induced Pluripotent Stem Cells
  
DOI:
中文关键词: 知识发现;SPO;知识组织;语义网络
英文关键词: Knowledge Discovery;SPO;Knowledge Organization;Semantic Network
基金项目:本研究得到中国科学技术信息研究所ISTIC-EBSCO文献大数据发现服务联合实验室基金项目"基于SemRep与SKOS的科技文献语义知识组织应用示范研究"资助.
作者单位
隗玲 山西财经大学 
胡正银 中国科学院成都文献情报中心 
庞弘燊 深圳大学 
覃筱楚 中国科学院广州生物医药与健康研究院 
郭红梅 中国科学院文献情报中心 
方曙 中国科学院成都文献情报中心 
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中文摘要:
      本文提出基于"主语-谓语-宾语(Subject-Predication-Object,SPO)"三元组的生物医学领域知识发现框架,对该框架的关键技术和实施流程进行研究.首先,基于UMLS语料库,利用SemRep工具从生物医药文献中抽取SPO三元组;其次,基于领域知识组织体系,结合自定义词表和清洗规则对SPO进行清洗和筛选;再次,利用NetMiner分别绘制以Subject和Object为中心节点,Predication为边的语义网络图;最后,结合专家解读,实现领域知识发现.本文以诱导多能干细胞领域为例进行实证研究.结果显示,SPO三元组可细粒度地揭示科技文献的知识内容,基于SPO的语义网络能直观地支持领域知识发现,该框架具有兼容、高效、易实施等优点.
英文摘要:
      This paper summarizes a set of knowledge discovery framework to make studies on knowledge discovery in biomedical literature based on Subject-Predication-Object (SPO) predications, and studies the key technology and implementation process of the framework. First, SPO predications were extracted from the biomedical literature by using UMLS corpus and SemRep;then, according to the knowledge organization system, vocabulary and cleaning rules were self-defined, the SPOs were cleaned and filtered;next, semantic network diagrams were constructed by NetMiner, which included subjects and objects as the center nodes and predications as the edges;final y, combining the diagrams and experts' interpretation, domain knowledge discovery was achieved. In this paper, an empirical study was conducted to investigate the field of pluripotent stem cel s. Research results show that, SPO predications can reveal the knowledge content of scientific literature, and SPOs-based semantic networks can intuitively support domain knowledge discovery. The framework is compatible, efficient and easy to implement.
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