福州大学学报（自然科学版）2017，Vol.45Issue(3)：329-335,7.DOI:10.7631/issn.1000-2243.2017.03.0329
基于多数据源的知识图谱构建方法研究
Knowledge graph construction method based on multiple data sources
摘要
Abstract
To improve the application of multi-source data fusion, this study constructs a knowledge graph-based data fusion model. This model firstly constructed corresponding domain ontology for each special field, and then consolidated all domain ontology into a global ontology. After that, it retrieved and fused knowledge from the global ontology by entity alignment and linking methods. At last it built an application platform of knowledge graph with friendly interfaces to execute query and statistics, etc. Besides that, this model improved the result of entity aligning by adopting traditional similarity detec-tion approach. And experiment results also demonstrated its good prediction accuracy by proposing a constraint based embedding model in entity linking process.关键词
知识图谱/本体构建/数据融合/实体对齐/实体链接Key words
knowledge graph/ontology construction/data fusion/entity alignment/entity linking分类
信息技术与安全科学引用本文复制引用
吴运兵,阴爱英,林开标,余小燕,赖国华..基于多数据源的知识图谱构建方法研究[J].福州大学学报（自然科学版）,2017,45(3):329-335,7.基金项目
福建省中青年教师教育科研资助项目(JAT160077) （JAT160077）
福建省中青年教师教育科研资助项目(JAT160658) （JAT160658）
福建省科技计划资助项目(2016R0095) （2016R0095）
福建省教育厅科技资助项目(JA14243) （JA14243）
对外科技合作与交流资助项目(E201402300) （E201402300）
