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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

隗玲 胡正银 庞弘燊 覃筱楚 郭红梅 方曙

数字图书馆论坛Issue(9):28-34,7.
数字图书馆论坛Issue(9):28-34,7.DOI:10.3772/j.issn.1673-2286.2017.09.005

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

隗玲 1胡正银 2庞弘燊 2覃筱楚 3郭红梅 4方曙5

作者信息

  • 1. 山西财经大学信息管理学院,太原030006
  • 2. 中国科学院成都文献情报中心,成都610041
  • 3. 深圳大学图书馆,深圳518060
  • 4. 中国科学院广州生物医药与健康研究院,广州510530
  • 5. 中国科学院文献情报中心,北京100190
  • 折叠

摘要

Abstract

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.

关键词

知识发现/SPO/知识组织/语义网络

Key words

Knowledge Discovery/SPO/Knowledge Organization/Semantic Network

分类

社会科学

引用本文复制引用

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):28-34,7.

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. ()

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