计算机应用与软件2017，Vol.34Issue(8)：87-91,144,6.DOI:10.3969/j.issn.1000-386x.2017.08.016
KECVS:一个面向专业文献知识实体的类型标注及可视化系统
KECVS:A KNOWLEDGE-ENTITY CATEGORIZATION AND VISUALIZATION SYSTEM FOR ACADEMIC LITERATURE
摘要
Abstract
Knowledge-entity categorization is an important task for the structural management of academic literature and knowledge-graph mining.Since knowledge entities are highly specialized, diverse and evolve with time, how to categorize, annotate and analyze the knowledge-entity on unlabeled data is of great significance.In this paper, a knowledge-entity categorization and visualization system are designed and developed for academic literature, which provides knowledge-entity recognition and categorization, as well as generation and visualization of the knowledge-graph.Hence it is able to help researchers effectively analyze the knowledge relations and research hotspots.关键词
信息抽取/实体类型标注/知识关系挖掘/数据可视化/专业文献Key words
Information extraction/Entity categorization/Knowledge relationship mining/Data visualization/Academic literature分类
信息技术与安全科学引用本文复制引用
温雯,伍思杰,蔡瑞初,郝志峰,王丽娟..KECVS:一个面向专业文献知识实体的类型标注及可视化系统[J].计算机应用与软件,2017,34(8):87-91,144,6.基金项目
国家自然科学基金项目(61202269,61472089,61502108) （61202269,61472089,61502108）
NSFC-广东联合基金项目(U1501254) （U1501254）
广东省科技计划项目(2015B010108006,2015B010131015) （2015B010108006,2015B010131015）
广州市科技计划项目(2014Y2-00027). （2014Y2-00027）
