Exploration of the Algorithm for Transforming Offshore Oilfield Data Lakes into Knowledge Graphs
As an important cornerstone of the era of artificial intelligence,knowledge graphs provide a new form of organization and representation for knowledge.However,it is an urgent need for technical researchers to efficiently construct and reasonably transform exploration and development data of date lakes into knowledge graphs.At present,the offshore oil data lake has established a comparative standard,normative and comprehensive data system in the field of exploration and development.Focusing on the existing situation of a large amount of data,this paper studies the construction technology and algorithm of batch transformed knowledge graph,in order to compare the performance and effect of various subsequent algorithms,and summarizes a new idea of transforming data lake into knowledge graph,so as to provide a reference for the construction and development of a more general,practical and useful offshore oil knowledge lake platform.
万方数据
维普
