基于知识图谱与大数据的基建领域对话信息挖掘算法OACSTPCD

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.