This paper proposes a method of collect- ing a dozen terms that are closely re- lated to a given seed term. The proposed method consists of three steps. The first step, compiling corpus step, collects texts that contain the given seed term by us- ing search engines. The second step, au- tomatic term recognition, extracts impor- tant terms from the corpus by using Naka- gawa’s method. These extracted terms be- come the candidates for the final step. The final step, filtering step, removes inappro- priate terms from the candidates based on search engine hits. An evaluation result shows that the precision of the method is 85%.

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