本体与关联数据融合驱动的科技文献细粒度知识挖掘研究

Research on Fine-grained Knowledge Mining of Scientific and Technological Documents Driven by Ontology and Association Data Fusion

科技文献的细粒度知识挖掘对于科学的发展起着至关重要的作用。文章在分析科技文献知识挖掘的基础上,构建出本体与关联数据融合驱动的科技文献知识挖掘模型,最后基于研究成果,以人工智能领域科技文献为例进行案例分析,诠释了本体与关联数据融合驱动下科技文献的细粒度知识挖掘所具有的特征。

The fine-grained knowledge mining of scientific and technological documents plays a vital role in the development of science. Based on the analysis of the knowledge mining of scientific and technological documents, this paper constructs a mode of scientific and technological documents knowledge mining driven by the fusion of ontology and associated data. Finally, based on the research results, taking the scientific and technological literature in the field of artificial intelligence as an example, the paper fully explains the characteristics of fine-grained knowledge mining of scientific and technological documents driven by ontology and association data fusion.