%A Li Jiaquan,Li Baoan,You Xindong,Lü Xueqiang %T Computing Similarity of Patent Terms Based on Knowledge Graph %0 Journal Article %D 2020 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.2096-3467.2019.1157 %P 104-112 %V 4 %N 10 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4876.shtml} %8 2020-10-25 %X

[Objective] The study uses patent knowledge graph to calculate similarities between patent terms, aiming to detect infringement cases from patent texts.[Methods] We calculated term similarities based on the knowledge graph of new energy vehicle patent. Other factors included: the concept hierarchy of terms, the distance between terms in the knowledge graph, the semantic similarity of terms, as well as the attributes of terms.[Results] The accuracy and recall rates of patent term classification were more than 80%, which were significantly higher than those of the traditional methods.[Limitations] Manual construction of concept hierarchy tree and annotation of term classification might yield errors.[Conclusions] It is feasible to compute similarities between patent terms based on the knowledge graph, which provides good reference for future research.