Identifying Core Technologies Based on the Commerce Control List-Patent Network Mapping:Case Study of Industrial Software
[Objective]In response to Western technology export controls on China,this study proposes a method for identifying critical core technologies by mapping the U.S.Commerce Control List(CCL)to a patent-based dual-layer network.The goal is to provide a reference for selecting and prioritizing technology breakthrough directions.[Methods]The study integrates the CCL and patent data to build a dual-layer network consisting of a CCL-related network and a weighted patent citation network.We used a community detection algorithm to identify technology clusters in both layers and calculated the semantic similarity of inter-layer clusters to achieve automatic mapping.Using Word2Vec and the n-gram method,we extracted keywords from each cluster to represent technical topics.Finally,we identified the patent clusters with the highest similarity to the CCL clusters as critical core technologies.[Results]Empirical results in industrial software demonstrate that this method identifies 12 distinct patent clusters with the highest similarity to the CCL clusters,all of which have a similarity of over 0.85.They involve integrated circuit IP cores,precision measurement,process control,motion control,and turbine detection.Literature research has verified them as key core technologies in industrial software.[Limitations]The study only focused on industrial software for empirical research.The technical approach can be improved,and the identification results require further interpretation and analysis.[Conclusions]The proposed method efficiently and accurately identifies key core technology at a micro-level,features a high degree of automation,and is highly readable,providing significant practical application value.
Key Core TechnologyCommerce Control ListDouble-Layer Network MappingIndustrial SoftwareTechnology Identification
NETL
NSTL
万方数据
