Research On The Semantic Model Of Tourists With Automatic Qeustions And Answers

Because of the increasing amount of information on the Internet,the traditional search system has been unable to fully meet the needs of users.Therefore,the automatic question answering system will be the best way to solve the pain point of the user.However,there are still many problems in the Chinese automatic question answering system that need to be solved urgently,among which the most important problem is that the understanding of the semantic meaning of question sentence is not accurate enough.The system can not correctly identify the questions entered by the user,so it can not give the user the correct answer.In order to solve this problem,this paper studies the semantic model of the tourist question oriented to the automatic question answering.It is hoped that the research on this model can help the automatic question answering system better understand the user input questions.In this paper,the semantics and structure of tourist problems in tourism field are deeply studied and analyzed,and the ontology database and knowledge base of tourism field are also discussed.The question representation model of tourism domain and the classification model of question sentence in tourism domain are studied and implemented.Finally,according to the research content,the subject acquires the relevant knowledge of the domain through ontology database and knowledge base and makes it structured.Analysis of question representation extraction keywords,interrogative words,question focus words itinerary question representation model,through the tourism domain question classification model to obtain question classification information,Finally,a set of tourist problem semantic model based on tourism field is constructed and implemented by integrating the information obtained from the above steps.In the process of establishing semantic model based on tourism domain problem,firstly,in order to make better use of tourism domain knowledge base to create knowledge suitable for this topic,the kdml description language is improved appropriately.It can better meet the characteristics of tourism domain knowledge,and improve the knowledge base of tourism field.It has good extensibility and can be used in other fields.Secondly,because the number of problems is relatively small,the Bayesian classification model is improved to improve its ability to classify tourism problems.At the same time,the method of combining rules with statistics is put forward,which combines the classification method of tourism area problem,and makes up for the deficiency of two methods.The experiment shows that this method is very effective.Finally,this paper not only aims at the problems existing in the field of tourism semantic model,but also aims at its forming process and storage method.At the same time,it puts forward a comparative experiment between the semantic model and the domestic tourism domain semantic model.The experimental results show that the semantic understanding model proposed in this paper has significantly improved the accuracy of the above.