基于知识图谱的高校智慧图书馆建设研究

Research on the construction of university smart library based on knowledge graph

高校智慧图书馆的“感知知识、感知需求和感知存在”特征,契合了知识图谱优势技术特点。文章针对高校智慧图书馆馆藏资源数据之间存在的潜在关联关系,利用知识图谱管理技术,从知识抽取、知识表示、知识融合、知识推理、智慧荐书和智慧荐读等六方面深入阐述了现代智慧图书馆建设的有效途径,以期将高校智慧图书馆构建成一个基于知识图谱的,将书、人、时间和空间融为一体的知识生态有机体。

The characteristics of“perceived knowledge,perceived demand and perceived existence”of smart libraries in colleges and universities are in line with the technical characteristics of the superiority of the knowledge graph,Aiming at the potential relationship between the collection resource data of the smart library in colleges and universities.The knowledge graph management technology is used to extract the knowledge from six aspects which are:knowledge extraction,knowledge representation,knowledge fusion,knowledge illation,and intelligent recommendation of books and content.In constructing a University Smart Library into a knowledge ecological organism based on knowledge graph,which meanwhile integrates books,people,time,and space.