Research Of Adaptive Tourism Activities And Recommended System Based On Context Aware

Walks With the development of the tourism industry, personalized individual tourist has gradually become the mainstream of the development of the tourism market, self-help tourists usually travel in than with the group of tourists information and travel services more demand. Therefore, how to provide travelers with quick and convenient information, anywhere to meet the needs of travelers become the key to the rapid development of tourism.Along with wireless communication technology, computer network facilities as well as the continuous development of handheld devices, at home and abroad, has launched a mobile platform mobile travel services, sought after by the tourists. However, the prevalence of current travel information system a lot of problems, lack of personalization and strain. In this paper, context-aware computing (continue to adapt to the user’s location, around the crowd and things, and these things are a calculation method) with the time change, the introduction of the current travel system, which is based on user behavior and which the environment to provide users with instant service.In this paper, access to a large number of domestic and international scene perception and knowledge of the travel information system based on the following main research conducted.First, information on the classification of tourism activities in the scene to get the get method, introduced ontology modeling method, and then use the ontology modeling method to model the relationship between the body and body of the scene in tourism activities, to establish a new scenario model-TCOM model, and the use of the Protege development tools to achieve modeling and reasoning laid the foundation for the later scene.Secondly, the introduction of rules reasoning TCOM model the relationship between the body and the body of rules, ontologies constitute tourism activities, the use of the OWL language. Adopt the Jena rules of inference engine, based on knowledge rules from direct access to low-level scene information to deduce senior implicit scene, which recommended travel activities for travelers.Finally, combined with the characteristics of tourism activities and situational information, TCOA system architecture, the main function of the system provided by the the architecture core services layer ontology query module and ontology reasoning module. Around the structure, the use of information technology in this article to the successful design and development of adaptive tourism activities and recommended system, to support the application of the results of this study.This article studies the context-aware applications in tourism activities, because of past academic research situational awareness for smart space environment, so this research pioneering high. This article ultimately provide visitors with an intelligent travel assistant, according to the tourist’s personal information, user preferences, tour records and environment to its recommended service, compared with the traditional travel assistant more fully meet tourists travel needs of travelers Walks enthusiasm to promote the development of the tourism industry has a very important significance.