基于关联数据的机构知识库实体学术关系发现方法研究

Research on Institutional Repository Entity Academic Relationship Discovery Methods Based on Linked Data

文章分析机构知识库实体学术关系类型及其特征属性,依托关联数据构建机构知识库实体学术关系发现方法并阐释其具体操作流程,利用河海大学机构知识库数据开展实证检验。结果表明,使用该方法可实现机构知识库资源语义聚集与关联,提供基于关联数据的知识检索服务,以精准满足用户知识需求。

The article analyzes the types and characteristics attributes of academic relationships in institutional knowledge base entities,constructs a method and specific operation process for discovering academic relationships in institutional knowledge base entities based on association data,and conducts empirical tests using institutional knowledge base data from Hohai University.The results show that using this method can achieve semantic aggregation and association of institutional knowledge base resources,provide knowledge retrieval services based on association data,and accurately meet user knowledge needs.