Research on Intelligent Q&A Technology for Oilfield Environmental Protection and Safety Standards
The standards in the field of oilfield environmental protection and safety are of great significance for regulating and guiding the safety production,green development,and efficiency improvement of the industry.The standard knowledge in this field is relatively complex,which is difficult to be understood.To effectively solve the above problems,this paper conducts research on key technologies for intelligent Q&A of standards in the field of oilfield environmental protection and safety.Firstly,it designs the FAQ engine,including the research on the fast matching techniques based on semantic similarity and similarity rearrangement techniques based on deep learning,to rate user behavior;Secondly,it designs the KGQA engine,including the research on semantic library design models and Graph based search matching models;Finally,it designs a multi engine weighted scoring mechanism that can achieve intelligent Q&A in the field of oilfield environmental protection and safety standards.
oilfield environmental protection and safety fieldstandardsintelligent Q&A
万方数据
维普
