Knowledge graph construction method and fragmented knowledge generation method based on library

Abstract

The invention relates to the technical field of big data and artificial intelligence, in particular to a knowledge graph construction method based on a library, a fragmented knowledge generation method and electronic equipment. The construction method comprises the steps of obtaining digital literature resources; extracting metadata from the digital literature resources, and generating a metadatamap according to the metadata; obtaining object data according to the metadata, and generating an object data graph according to the object data; fusing the metadata graph and the object data graph togenerate a knowledge graph; and finally, generating fragmented knowledge of each knowledge point of the knowledge graph according to the digital literature resources and the knowledge graph, retrieving related knowledge points of the knowledge graph according to keywords input by a user, and outputting the fragmented knowledge. According to the invention, a complete knowledge system can be established, fragmented knowledge output and output knowledge traceability are realized based on the knowledge system, different requirements of users can be met, and the service efficiency of a library isimproved.

Description

technical field [0001] The invention relates to the technical fields of big data and artificial intelligence, in particular to a library-based knowledge map construction method, fragmented knowledge generation method and electronic equipment. Background technique [0002] Under the background of multi-industry integration and development in the new era, and the deep integration of mobile applications into life, work and study. The traditional means of digital resource service in the library is mainly to provide literature retrieval and download, and to expand the coverage of service groups and enrich the types of digital resources as means of improvement. However, these methods have been unable to meet the needs of services from superficial applications to in-depth applications, and users from in-depth reading to fragmented reading. [0003] With the National Standardization Administration Committee, the Central Cyberspace Affairs Commission, the National Development and Re...

AI Technical Summary

Problems solved by technology

However, these methods have been unable to meet the needs of services from superficial applications to in-depth applications, and users from in-depth reading to fragmented reading.

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