文本挖掘是基于非相关文献知识发现的核心。
Text mining is the kernel of the disjoint literature-based knowledge discovery.
研究发现，非相关文献知识发现有三个理论基础：检索理论、文献计量学理论和逻辑学理论。
Some studies find that noninteractive literaturebased discovery has three theoretical principles, including retrieval theory, bibliometrics and logics.
本文对生物医学文献知识发现的研究内容、研究成果以及基于文本挖掘的关键技术诸方面进行了系统的分析和阐述。
The latest researches of biomedical literature knowledge discovery, including main issues, accomplishment, and the key methods from text mining perspective, are discussed.
总之，这些例子阐明了文献分析如何能够被利用以支持生物医学研究中的知识发现。
Altogether, these examples illustrate how literature analysis can be employed to support knowledge discovery in biomedical research.
提出了一种基于中医药语义本体知识库对中医药文献进行语义关系图发现的方法。
This paper proposed an ontology based TC; M semantic graph discovery of TCM Document, The core method includes three procedures.
实验部分将利用中医药语义本体知识库对中医药文献进行语义关系图的发现，验证提出的算法。
In the experiment section, the TCM ontology knowledge base was used to identify the semantic graph from TCM Documents, and verify the feasibility of the method of this paper.
实验部分将利用中医药语义本体知识库对中医药文献进行语义关系图的发现，验证提出的算法。
In the experiment section, the TCM ontology knowledge base was used to identify the semantic graph from TCM Documents, and verify the feasibility of the method of this paper.
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