%A Guo Shu %T Research on Author Name Disambiguation Algorithm in the Literature Database %0 Journal Article %D 2013 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2013.07-08.10 %P 69-74 %V 29 %N 7/8 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3765.shtml} %8 2013-08-25 %X This paper firstly analyzes a graphical framework for name disambiguation called GHOST, and then provides a modified name disambiguation algorithm combining with the text mining of literature information. The new algorithm is more suitable for literature database, making up for the limitations existed in GHOST. Based on selecting title and publication name as computing feature from the literature information, the experiment shows that the algorithm achieves high precision and recall value, and F1 reaches 84%, which is good enough for name disambiguation.