Keywords represent the key points of literature. By analyzing the frequencies of keywords in different literatures and clustering those keywords, we can understand the development priorities and research focuses of the subject in different periods. The data source is based on the 83 kinds of journals of LIS in JCR. There are 16302 keywords in the data source. Using mapping knowledge domain tool Sci2 , a co-word analysis is then conducted. In the map, Sci2 can not only reveal the hierarchy between keywords, but also demonstrate clearly the key points and their development in different periods of the foreign LIS by changing nodes.%关键词是对文献的高度浓缩，通过分析关键词在不同文献中出现的频率，并对关键词进行聚类，可以很好地了解学科在不同时间段的发展重点和研究前沿。数据源参考 JCR收录的图书情报领域的83种期刊，共获得16302个关键词，然后利用知识图谱工具Sci2对关键词进行共词分析。在共词分析图谱中Sci2不仅能很好地呈现关键词之间的等级所属关系，还能通过关键词节点的变化情况很清晰地展示国外图书馆学情报学的发展重点及其变化。
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