集成电路与嵌入式系统2024，Vol.24Issue(8)：51-56,6.DOI:10.20193/j.ices2097-4191.2023.0010
基于知识图谱与大数据的基建领域对话信息挖掘算法
Dialogue information mining algorithm in infrastructure field based on knowledge graph and big data
李宾皑 1林波 1施红军 1余昇 2朱臣臣2
作者信息
- 1. 国网上海市电力公司,上海 200120
- 2. 南京南瑞信息通信科技有限公司,南京 211100
- 折叠
摘要
Abstract
The effective mining of dialogue information of infrastructure projects is an inevitable trend in the development of infrastruc-ture field,and also a necessary means to achieve high-quality development of infrastructure projects.Based on knowledge graph and big data,the algorithm of dialogue information mining in infrastructure field is studied.Corresponding to the entire process of infrastructure project construction with the theory of full lifecycle,we design a dialogue information database for infrastructure projects based on de-mand analysis,and define a dialogue information data flow graph for database application logic.Through the presentation form of the data flow map,select the knowledge graph algorithm to mark the dialogue information type label,and determine the specific relationship of the dialog information in the infrastructure field in an extensible mode.In order to ensure the determined relationships of dialogue in-formation are correlated,the similarity between the corresponding information relationships is calculated through the similarity evalua-tion method in big data technology.The data correlation probability is calculated by combining the similarity,to realize the dialog infor-mation mining in the global domain and complete the algorithm design.The experimental results show that the new algorithm can a-chieve precise mining of different information elements by mining and validating different types of dialogue information in infrastructure engineering,demonstrating practical value.关键词
大数据技术/基建领域/知识图谱/信息挖掘Key words
big data technology/infrastructure field/knowledge graph/information mining分类
信息技术与安全科学引用本文复制引用
李宾皑,林波,施红军,余昇,朱臣臣..基于知识图谱与大数据的基建领域对话信息挖掘算法[J].集成电路与嵌入式系统,2024,24(8):51-56,6.
