生物医学文本知识发现的研究进展

Research Advances on Biomedical Knowledge Discovery in Text

目前,如何解决海量文本信息与知识增长缓慢的矛盾,以可信的方式发现文本中有用的模式是一项严峻的挑战。本文就国际上有关文本挖掘在生物医学领域的应用进行阐述。概念识别和发现关系研究已经取得丰硕成果,而元数据挖掘正处于起步阶段。利用元数据进行生物医学文本挖掘以及建立知识库是现阶段文本知识发现的重要任务。

It＇ s a serious challenge that how to solve the conflicts between vast textual information and slowly increas-ing knowledge, and credibly discover useful patterns from text. The paper describs the biomedical application of text mining in the world. There are good results in concept identification and relation discovery, while mining of metadata is still at starting stage. The important tasks at present are text mining through biomedical metadata and developing knowledge databases.