| 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 |
| 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 |
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| DOI： |
| 中文关键词: 知识组织系统;文本挖掘;信息检索;信息抽取;知识发现 |
| 英文关键词: Knowledge Organization System;Text Mining;Information Retrieval;Information Extraction;Knowledge Discovery |
| 基金项目: |
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| 摘要点击次数: 2305 |
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| 中文摘要: |
| 随着生物医学信息技术的飞速发展，生物医学文献呈“指数型”增长，单纯依靠人工阅读获取和理解所需知识变得异常困难，如何从海量生物医学文献中整合已有知识、挖掘新知识成为当前研究热点。生物医学领域的知识组织系统建设相比其他领域更加规范和完整，为生物医学文本挖掘奠定了基础，大量基于知识组织系统的文本挖掘方法、系统得到快速发展。本文主要梳理现有医学知识组织系统，归纳生物医学文本挖掘的主要流程，按照挖掘任务探讨当前的主要研究和进展情况，并进一步分析基于知识组织系统的生物医学文本挖掘的特点，对知识组织系统在生物医学文本挖掘中发挥的主要作用和当前研究面临的挑战进行总结，以期为生物医学工作者提供借鉴。 |
| 英文摘要: |
| 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. |
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