%A Gu Jun, Xu Xin %T Study on Ontology Relation Extraction in Chinese Patent Documents %0 Journal Article %D 2013 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2013.10.12 %P 73-78 %V 29 %N 10 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3803.shtml} %8 2013-10-25 %X This paper promotes a method which collects the non-taxonomic relation from the Chinese patents' texts. Firstly, it analyzes the syntax of abstract texts, then constructs the sub-sentences extraction rules by domain sentence,character sentence, module & craft sentence and effect sentence. Secondly, artificially labels the terms of sub-sentences by label symbols such as BIEO, creates a scale of training data set. Thirdly, learns the training data and extracts the new data by CRFs. Finally, analyzes the experiment results and verifies the validity of the method.