Intelligent Knowledge Information Retrieval Method for Oil and Gas Field Engineering Based on Potential Semantics and Keywords
Due to the influence of different semantic analysis degree of effective information distribution structure and retrieval target characteristics of the intelligent knowledge information of oil and gas field engineering,it is difficult to complete the glob-al retrieval of effective information under specific conditions,and the retrieval results deviate greatly from the expected results,which seriously affects the progress of intelligent knowledge information analysis of oil and gas field engineering.In order to solve this problem,a method is proposed based on potential semantic and keywords.The model carries out potential semantics,the multiple analysis of keyword information space,and the similarity identification to realize knowledge information retrieval with high accuracy.The experimental results show that the proposed method can effectively improve the accuracy of target in-formation retrieval,and optimize in the retrieval rate,completeness and retrieval stability.
potential semantickey wordoil and gas field engineeringintelligent knowledge information retrieval
万方数据
维普
