Research And Implementation Of Travel Route Query Method Based On Ontology And Reasoning Mechanism

With the development of tourism,not only has tourism resources become more and more abundant,but also travel has become a daily leisure activity for people.How to effectively obtain information in a strange environment has become a major difficulty for people.Although the popularity of computer technology has made it easier for people to obtain information,due to the growth of network information,traditional keyword-based query methods have been unable to adapt to new demands.In addition,due to the complexity of information in the tourism field,different users may input the same meaning but different query conditions when querying information,resulting in the input query conditions can only match the results according to the grammatical level,it is difficult to meet the user's True intentions.Therefore,how to better analyze the semantic information of the query conditions,establish a semantic extension model in the tourism field,and obtain a query result satisfying the real needs of the user is an urgent problem to be solved.In order to solve the above problems,this paper proposes a travel route query method based on ontology and reasoning mechanism.The research work of the dissertation mainly includes the following aspects:(1)For traditional information retrieval,keyword matching is often adopted from the perspective of grammar,and the problem of semantic analysis is lacking.With the tourism field as the research background,a tourism ontology is established by consulting and researching relevant data in the tourism field.Through the analysis of concepts in the field of tourism,a hierarchical system of classes and classes is established.Then,by defining attributes and adding instances,correlations and analysis are performed between classes,between classes and instances,and between instances and instances.(2)Analyze the user query and extract the target condition;then define the inference rules according to the existing association attributes in the tourism ontology,and based on the Jena inference mechanism,add the custom rules to the inference engine to complete the semantic extension of the tourism ontology,and then use SPARQL.The language carries out single-factor reasoning queries.Finally,based on the multiple target conditions proposed by the user,a multi-factor inference query is implemented by defining an objective function and an inference query based on a single factor,and the travel route information recommendation is completed.(3)Implement the travel route query system ORTRIS based on ontology and reasoning mechanism.The user queries the travel route information required by the user by inputting the query condition sentence.This paper compares the method of this article with the research method of related literature.Through the analysis of the recall and precision of the query results,it proves the effectiveness and superiority of the method.This method applies ontologies to the field of tourism,and can establish the logical relationship structure between tourism related concepts.Through the association processing and inference rules,it can achieve the purpose of expanding the ontology;using inference query,we can get the query results of travel routes.