现代信息科技2026，Vol.10Issue(8)：135-138,143,5.DOI:10.19850/j.cnki.2096-4706.2026.08.024
贵州省交通物流领域知识库构建与语义检索方法研究
Research on the Construction of a Knowledge Base and Semantic Retrieval Methods in the Field of Transportation and Logistics in Guizhou Province
赵廷新 1杨焙 1彭陈诚 1陈双2
作者信息
- 1. 贵州中南交通科技有限公司,贵州 贵阳 550214
- 2. 贵州理工学院,贵州 贵阳 550003
- 折叠
摘要
Abstract
This study conducts an in-depth investigation into key issues in Guizhou Province,such as fragmented logistics information,information silos,and irrational transportation routes caused by mountainous terrain and industrial disparities.The research aims to construct a unified knowledge base in this field to address the challenges of integrating multi-source heterogeneous data.To achieve this,the study employs innovative schema mapping and knowledge graph technology to effectively establish semantic associations and integrate fragmented data,including geographical features,policy documents,and real-time logistics operations.This process results in the creation of a unified semantic knowledge base,providing a reliable data foundation for dynamic reasoning and intelligent decision-making.The research also optimizes semantic retrieval based on this domain-specific knowledge base by introducing vectorization techniques,local dictionaries,and dynamic weight adjustment methods,significantly improving the accuracy and efficiency of information retrieval.Additionally,leveraging knowledge graph technology enables precise prediction of users'latent needs.The outcomes of this study lay a solid technical foundation for building a unified logistics information platform in Guizhou Province.关键词
多源知识库/语义检索技术/知识图谱/混合度量方法/领域字典构建Key words
multi-source knowledge base/semantic retrieval technology/Knowledge Graph/mixed measurement method/domain dictionary construction分类
信息技术与安全科学引用本文复制引用
赵廷新,杨焙,彭陈诚,陈双..贵州省交通物流领域知识库构建与语义检索方法研究[J].现代信息科技,2026,10(8):135-138,143,5.
