Intelligent Recognition And Intelligent Control Based On Natural Language Processing

Natural language processing(NLP)is a key study of human and computer information exchange in the natural language understanding of the subject,in the field of intelligent services has an important role.This paper focuses on the application of the control strategy of the Internet of Things in the collection of small vocabulary,and realizes the natural language semantic analysis and the Internet of Things control strategy system by using XACML,SAML and OWL by using the computer of small vocabulary collection to identify the natural language.End-to-end control of the real-time and security,to make it more intelligent.Firstly,the research and design of the collection of small vocabulary are carried out.Through the web crawler method,the text data related to the Internet of Things is captured from the Internet,and the word segmentation of the GATE frame is extracted by the Chinese Academy of Sciences,and the JAPE rules are combined into a small vocabulary collection.Then,the thesis designs the control strategy of the Internet of Things.Through the natural language semantic matching analysis of computer can understand the human natural language,XACML and SAML will be combined to form a network of things strategy control module,generate a strategy control file.Through the navigation and interactive way,the strategy control file is navigated to the corresponding physical equipment in the Internet of Things system,and the end-to-end command control of the Internet of things is realized.It is proved that the object control strategy system can be applied to the feasibility of command control processing in the Internet of Things.