Research on the Construction and Application of Analysis Platform for University Patent Transfer
[Purpose/significance]The paper constructs a knowledge graph system for university patent transfer data,and com-pletes the development of analysis platform with integrated functions,which provides reference for the promotion of university patent a-chievements and the formulation and implementation of operational strategies.[Method/process]By analyzing the data of university pa-tent transfer and its internal semantic relationship,the paper constructs an attribute graph data model of university patent transfer knowl-edge graph based on ontology engineering.Combined with Python application design to complete data preprocessing and knowledge ex-traction,it uses Neo4j graph database to store graph information and the C/S architecture and to design and JavaFX to design and devel-op the university patent transfer analysis platform.[Result/conclusion]Through the human-computer interaction interface,the plat-form integrates project management,knowledge graph construction and maintenance,statistical analysis,user management and other functions to facilitate the query and analysis of patent transfer related data,and provides a new tool for patent management and operators to study the trend and characteristics of patent transfer.
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