Design And Implementation Of Military Information System Based On Knowledge Graph

In today’s rapidly developing internet and data era,people are beginning to place greater importance on effectively mining and utilizing information on the internet.Knowledge graph technology is a method for extracting structured knowledge from vast amounts of scattered text,and effectively mining the relationships between information.It is advantageous for meeting the needs of domain-specific information systems and has a wide range of application prospects.This thesis presents an information system based on a military knowledge graph,and the main work contents are as follows:1.A construction plan for a military knowledge graph is proposed.Given the lack of public datasets in the military domain,this paper explores the overall design of military knowledge graph construction.Through web crawling technology and knowledge extraction based on deep learning,structured,semi-structured,and unstructured data is obtained from the internet.Based on military-related knowledge,the construction of the ontology layer is carried out,and the Neo4j database is used to store the data.Based on the data,the building of the military domain knowledge graph is finished,which providing a foundation for the implementation of system functions and further research on knowledge graphs.2.Knowledge extraction algorithms and knowledge representation models for military information are studied.This paper adopts a BERT+CRF extraction model for knowledge extraction,which effectively solves problems such as incomplete military data,the presence of many professional terms,and overlapping entity relationships.At the same time,TransE translation model training and improvement is conducted based on the characteristics of military information triplets,learning the semantic information of entities and the connection relationship information between entities in the knowledge graph,and vectorizing them for representation.Entity recommendation is achieved by calculating the similarity between entities.3.A knowledge graph-based military information system is designed and implemented.Based on the constructed military knowledge graph,various functional modules of the system are built,including knowledge visualization,entity query,graph maintenance,relationship extraction,and entity recommendation.Finally,the system is tested to ensure that its features are practical.Overall,this thesis proposes a construction plan for a military knowledge graph,implements the system construction and development of system functions,proposes knowledge extraction and representation algorithms for military information,and provides users with multiple information acquisition functions in the system,improving user experience.