This paper extracted high-frequency keywords appearing in the literature, then positioned the abstract through inverted index,mined the fixed semantic phrases with keywords in the abstract,and tracked the dynamic changes phrases in recent years by text bibliometric. By using the related affect matrix to establish associated network, the association between the semantic phrases was analysed and figured out. The experimental results show that the literature summary implicit knowledge fragments can better reflect the trends of disciplines.%提取文献中高频出现的关键词,通过倒排索引的方法将关键词在摘要中定位,挖掘出摘要中隐含的与关键词能构成固定搭配的语义词组,并运用文本计量的方法追踪词组近年来的动态变化.利用关联影响度矩阵对语义词组进行了网络分析.实验结果表明,文献摘要中隐含的知识片段更能反映学科的发展趋势.
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