[Objective] This study ctreated a new model to improve the quality and maintenance efficiency of the personal name authority data in China. [Methods] To prove the feasibility of using open semantic resources to enrich the name authority data, this study analyzed the number and types of semantic resources, evaluation metrics, automation and maintenance speed, as well as the credibility of the open resource. The FOAF was used as an example to implement the schema. [Results] This study set restriction conditions, interface mode and harvest rules for obtaining the semantic resources. It created RDF predicate and two realizing techniques, like SDK and software to discover and integrate resources. This study designed automatic multi-matching algorithm and mapping table to automatically enrich name authority data. [Limitations] Only creates the schema, which was not put into practice. The semantic resource’s storage model and the extraction processing methods are also at the initial framework stage. No detailed implementation technology was discussed. [Conclusions] The proposed method could be automatically matched with open semantic resources of the individual names to enrich local personal name authority data.