摘要
知识图谱也被称为科学知识图谱,可以揭示复杂知识领域的动态发展规律.基于自然语言处理技术从海量Web数据中抽取命名实体及命名实体关系,从而构建企业知识图谱.设计并实现了一种基于知识图谱的可视化分析方法,在网络图中融入集合可视化,从全局和细节两个层次进行可视分析,构建了企业知识图谱可视化分析平台.通过案例分析表明,该可视化研究方法满足用户对相关数据的可视化分析.
Knowledge graph, also known as scientific knowledge graph, can reveal the law of the dynamic development in complex knowledge fields. Named entities and named entity relationships are extracted from mass web data via natural language processing technique to build an enterprise knowledge graph. Then a visual analysis method is designed and implemented based on the knowledge graph, which can analyze enterprise relationships from two levels, namely, global and detailed levels, by integrating set visualization into network graph. Finally, a visual analysis platform of enterprise knowledge graph is structured. The case analysis shows that the research meets the needs of users for the visualized analysis of the corresponding data.
出处
《东华大学学报（自然科学版）》
CAS
CSCD
北大核心
2016年第4期473-477,484,共6页
Journal of Donghua University(Natural Science)
基金
国家自然科学基金面上资助项目(61272199)
教育部博士点基金资助项目(20130076110008)
关键词
可视分析
企业知识图谱
网络数据
visual analysis
enterprise knowledge graph
web data
