Research on Multi-Granularity Cross-Modal Semantic Mining of Library Digital Resources for Knowledge Discovery
In the era of knowledge economy,the traditional service mode of libraries has shifted to-wards knowledge service mode,and users have also put forward higher requirements for the knowl-edge service mode of libraries.Based on understanding of the current research status of knowledge discovery and semantic mining,this paper divides multimodal digital resources into coarse,medium,and fine levels,and establishes the relationship between multimodal digital resources and knowledge elements,knowledge subsets,and knowledge sets.Then,using knowledge elements and knowl-edge association techniques,a multi granularity cross modal semantic mining model for library digital resources oriented towards knowledge discovery is constructed.Finally,digital book resources are taken as an example for case analysis,aiming to provide reference and guidance for innovative knowledge service content and methods in libraries.
万方数据
维普
