【摘要】 人类积累了大量的生物医药科研数据,这些数据以不同的形式存放在不同的数据源中,而数据的组织形式决定了数据的使用价值。为了使数据发挥更大的价值,将多源异构数据应用于知识挖掘与发现,深入研究和改进了知识融合等知识图谱的构建技术,使用Neo4j图形数据库进行数据存储,构建了生物医药领域的大规模知识图谱。知识图谱的构建可为后期的知识挖掘与知识图谱的应用作支撑。更多还原

【Abstract】 Human beings have accumulated a large number of biomedical research data, which are stored in different forms in different sources. The organization of the data determines the use value of the data. In order to make the data play a greater value, the multi-source heterogeneous data is applied to knowledge mining and discovery. The construction technologies of knowledge graph such as knowledge fusion are deeply studied and improved in this paper, and Neo4j graph database is used for data storage to construct a large-scale knowledge graph in the field of biomedicine, which can support knowledge mining and other applications later.更多还原