%A Gu Jun, Wang Hao %T Study on Term Extraction on the Basis of Chinese Domain Texts %0 Journal Article %D 2011 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2011.04.05 %P 29-34 %V 27 %N 4 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3374.shtml} %8 2011-04-25 %X Based on the ICTCLAS dictionary segmentation, this paper proposes a method that extracts relevant concept terminology from the Chinese patent texts by maximum matching and frequency statistics, then computes the weights of the items by TF-IDF and gets the final concept terminology. Finally, it analyzes the results with the sample data extraction experiments.