多匹配器自动聚合的知识图谱融合系统构建

总结了知识图谱融合系统的基本框架，并将其作为系统开发的一个基本参考模型。重点研究了匹配器、自适应聚合器等核心组件的设计，实现了多匹配器的自动优化及聚合参数的自适应调节，从而减少了在映射参数设置上的人工干预，提高了融合系统的自动化程度和融合效率。在此基础上，构建了一种基于多匹配器自适应聚合的知识图谱融合系统原型，并进行了初步实验。

Development of infusion system for knowledge graphs based on automatic aggregation of multiple matchers

The basic framework of infusion system for knowledge graphs was summarized and used as a basic reference model for the development of infusion system for knowledge graphs. The key components of matchers and self-adaptive aggregators were designed, which can achieve the automation of multiple matchers and the self-adaptation of aggregated parameters, and reduce the artificial intervention in mapping parameters. A prototype of infusion system for knowledge graphs was developed based on the self-adaptive aggregation of multiple matchers and tested.