%A Zhang Fan, Le Xiaoqiu %T Research on Innovation Points Extraction from Scientific Research Paper Based on Field Thesaurus %0 Journal Article %D 2014 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2014.09.03 %P 15-21 %V 30 %N 9 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3941.shtml} %8 2014-09-25 %X

[Objective] This article aims to extract innovation points of sentence-level from scientific research paper of specific domain. [Methods] The field thesaurus and Ontology are used in constructing rules to extract innovation points from sentences in research papers, and a redundancy computing method based on keyword-overlap computing is used to filter redundant innovation points. [Results] The experiment is undertaken on data set of Neoplasm and the result shows that the accuracy rate is 89.42% and the recall rate is 60.14%. [Limitations] The rules need to be further improved, and the recall rate needs to be improved. [Conclusions] Using field thesaurus and the relationships in Ontology is effective in extracting innovation points from scientific research paper.