Research And Application Of Tourism Yellow Pages Semantic Retrieval Based On Ontology

With the rapid development of Internet, Web is developing from Web1.0toWeb2.0, even to the development of Web3.0. Specifically, Web2.0plays moreemphasis on user interaction; the user is both the site content viewer and the maker ofthe site’s content. Therefore, Information resources on the Web are growing andalmost become a global information resource library. However, if users want toretrieve the information they want in the vast resources, which become very difficult.The current Internet as a simple keyword matching retrieval mechanism is verydifficult to accomplish on the recall and precision. This article focuses on the use ofontology technology, which the existing tourist Yellow Pages service mechanismbased on the syntax level to improve from the current to the semantic level, to offerconsumers with more accurate, intelligent travel information services.First of all, a lot of research has focused on ontology technology; ontology is anexplicit specification of a conceptualization, for the purpose of a related vocabulary inthe field of basic terms and relations. Analysis of the core concepts in the field oftourism or standard vocabulary, the relationship between the uses of Ontologylanguage will be described with the level of relations in the field of tourism betweenthe concepts. With ontology development tools, ontology library is going to be built inthe field of tourism.Secondly, Retrieval extension method, derived ontology semantic retrievalconcept expansion algorithm is the original retrieval request user input in support ofontology, with the help of ontology concept expansion algorithm, automatically basedon the semantics of the user, adding a new search word or phrase to form the newlonger, more accurate retrieval collection. With this approach to some extent, users toretrieve information deficiencies can be made up.Additionally, in the support of Jena framework, a tourism domain ontologyinference rules is established, with Jena inference engine and Jena in supportSPARQL query ontology, then ontology resources retrieve the results back to theusers.Finally, according to the above research tourism yellow pages semantic retrievalsystem can be designed, which can compare with traditional travel site to retrieve thereturn results. The experiment can prove the design of a retrieval system effectivelyimprove the recall rate, precision rate, and intelligence and are superior to traditionaltravel site search in this paper.