基于知识图谱的时空数据语义搜索系统设计与研究  

Design and Research of Semantic Search System for Spatiotemporal Data Based on Knowledge Graphs

作　　者：方正 段然 张广庆 Fang Zheng;Duan Ran;Zhang Guangqing(Cetc Cloud(Beijing)Science&Technology Co.,Ltd,Beijing 100041,China)

机构地区：[1]电科云(北京)科技有限公司,北京100041

出　　处：《信息化研究》2025年第1期30-36,42,共8页INFORMATIZATION RESEARCH

摘　　要：时空数据正爆炸式飞速产生,如何以语义方式对海量时空数据进行精确、高效的搜索是一个较为复杂的问题。本文提出了一种基于知识图谱的时空数据语义搜索系统的设计方法,通过合理设计时空数据模型、时空数据索引、时空数据分布式计算引擎以及基于知识图谱的时空数据语义化方法,将时空数据对象抽象到知识图谱中,结合知识图谱强大的语义理解与关联搜索能力,能够有效地实现语义化时空数据精确搜索。实验结果表明,该方法在满足拟人化时空数据搜索能力的同时,相较关系型数据库还具备一定的性能优势,满足语义时空搜索的需求。Spatiotemporal data is being generated at an explosive rate,and searching for massive spatiotemporal data accurately and efficiently in a semantic way is a relatively complex issue.This paper proposes a design method for a semantic search system for spatiotemporal data based on knowledge graphs.By reasonably designing the spatiotemporal data model,spatiotemporal data indexing,spatiotemporal data distributed computing engine,and the semanticization method of spatiotemporal data based on knowledge graphs,spatiotemporal data objects are abstracted into the knowledge graph.Combined with the powerful semantic understanding and associative search capabilities of the knowledge graph,it can effectively achieve precise semantic search capabilities for spatiotemporal data.Experimental results show that this method,while satisfying the anthropomorphic search capabilities for spatiotemporal data,also has certain performance advantages compared to relational databases,meeting the needs of semantic spatiotemporal search.

关 键 词：知识图谱 时空数据 语义搜索 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]