摘要
甲骨学研究离不开后世文献的调研和分析,且其涉及的研究内容十分广泛。为解决文献调研中学科体系庞大、知识点繁杂、信息孤岛林立等问题,提出建立甲骨学知识关联网络的方案。基于科学知识图谱在文献分析方面的优势,实现了甲骨学的实体发现和关系抽取,从而构建了知识网络,以期更好地服务于甲骨学研究。
Oracle Bone Studies cannot be separated from the investigation and analysis of later literature, and the research objects are very extensive. In order to solve the problems of large discipline system, complex knowledge points, and numerous information islands in literature research, a solution to establish the Oracle Bone Studies knowledge association network is proposed. Based on the advantages of the mapping knowledge domains(MKD) in the literature analysis, the entity discovery and relationship extraction of Oracle Bone Studies are realized, and the knowledge network is constructed so as to better serve the Oracle Bone Studies research.
作者
熊晶
焦清局
刘运通
XIONG Jing;JIAO Qing-ju;LIU Yun-tong
出处
《信息技术与信息化》
2019年第12期182-186,共5页
Information Technology and Informatization
基金
国家自然科学基金(U1504612,61806007)
教育部国家语委甲骨文等古文字研究专项(YWZJ023,YWZ-J010)
河南省科技计划项目(182102310039)
河南省高校重点项目(17A520002,18A520002)
甲骨文信息处理教育部重点实验室
河南省重点实验室资助
关键词
甲骨学
实体发现
关系抽取
科学知识图谱
Oracle Bone Studies
entity discovery
relation extraction
mapping knowledge domains
