基于知识图谱知识库应用系统架构设计

Architectural Design of the Knowledge Base Applied System Based on Knowledge Graph

知识图谱的构建和应用对提高大数据智能化的能力具有重要意义,文章基于先行研究对知识图谱知识库应用系统的架构设计课题进行分析。文章基于现有公开知识库的调研结果,采用CatBoost算法进行回归分析,经过数据分析和模型训练,结果显示数据质量和安全性是最重要的指标,易用性、可扩展性和数据更新机制也具有重要作用。经过逐步回归并剔除不显著的自变量,模型预测精度得到一定的改善。

The construction and application of knowledge graph plays an important role in improving the intelli-gent ability of big data.Based on previous research,this paper analyzes the architectural design of knowledge graph knowledge base applied system.Based on the survey results of the existing public knowledge base,this paper uses CatBoost algorithm for regression analysis.After the data analysis and model training,the results show that data quality and security are the most important indicators,and the usability,scalability and data up-date mechanism also play an important role.After stepwise regression and eliminating the insignificant indepen-dent variables,the prediction accuracy of the model to some extent is improved.