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基于知识组织系统的生物医学文本挖掘研究

钱庆

数字图书馆论坛Issue(4):2-10,9.
数字图书馆论坛Issue(4):2-10,9.DOI:10.3772/j.issn.1673-2286.2016.4.001

基于知识组织系统的生物医学文本挖掘研究

Research on Biomedical Text Mining Based on Knowledge Organization System

钱庆1

作者信息

  • 1. 中国医学科学院医学信息研究所,北京100020
  • 折叠

摘要

Abstract

With the rapid development of biomedical information technology, biological medical literatures grow exponential y. It's hard to read and understand the required knowledge by manual, how to integrate knowledge from huge amounts of biomedical literatures, mining new knowledge has been becoming the current hot spot. Knowledge organization system construction in the field of biological medicine is more normative and complete than other fields, which is the foundation for biomedical text mining. A large number of text mining methodsand systems based on knowledge organization system have fast development. This paper investigates the existing medical knowledge organization systems and summarizes the process of biomedical text mining. It also summaries the researches andrecentprogressand analyzes the characteristics of biomedical text mining based on knowledge organization system. The knowledge organization systems play an important role in biomedical text mining and the chal enge for the current study are summarized, so as to provide references for biomedical workers.

关键词

知识组织系统/文本挖掘/信息检索/信息抽取/知识发现

Key words

Knowledge Organization System/Text Mining/Information Retrieval/Information Extraction/Knowledge Discovery

分类

社会科学

引用本文复制引用

钱庆..基于知识组织系统的生物医学文本挖掘研究[J].数字图书馆论坛,2016,(4):2-10,9.

数字图书馆论坛

OACSSCICSTPCD

1673-2286

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