摘要
为了提高在电网信息知识图谱上的信息检索速度,提出一种基于逻辑知识图谱的信息快速检索方法(Fast Information Retrieval Method of logical Graph Model,FRM-LG)。通过将实例图谱中的Label和Relationship进行映射,作为实体节点构建逻辑图谱模型,然后根据检索信息在逻辑图谱上运行Dijkstra图算法找出实体之间所存在的关系去加速Cypher在实例图谱中的搜索速度。以6个实际检索场景作为实验对象验证FRM-LG方法的有效性,结果表明基于逻辑图谱模型的搜索方法大幅缩短了搜索时间,提高了检索成功率。
In order to improve the speed of information retrieval on the power grid information knowledge graph,a Fast Information Retrieval Method of Logical Graph Model(FRM-LG)based on the logical knowledge graph is proposed.By mapping the Label and Relationship in the instance graph,construct the logical graph model as entity nodes,and then run the Dijkstra graph algorithm on the logical graph according to the search information to find out the relationship between entities to speed up Cypher's search-speed in the instance graph.Six actual retrieval scenarios were used as experimental objects to verify the effectiveness of the FRM-LG method.The results show that the search method based on the logical graph model greatly shortens the search time and improves the retrieval success rate.
作者
王骏
陆万荣
胡勇
Wang Jun;Lu Wanrong;Hu Yong(Kunming Enersun Technology Co,Ltd.Kunming,650200,China)
出处
《云南电力技术》
2023年第4期37-41,共5页
Yunnan Electric Power
