Dynamic Integration Method Of Ubiquitous Network Tourism Data Under GTIM Model Framework

With the continuous improvement of residents' living standards,the rapid development of tourism and the increasingly mature behavior of tourists,tourism has become an important part of people's daily life.With the characteristics of freedom,initiative and flexibility,self-help travel has gradually become the preferred travel method for domestic tourists.However,when tourists inquire about travel-related information,they have to link and jump on different websites or APPs,it is time consuming and laborious,and even reduces the travel experience.Therefore,how to timely and effectively associate and integrate tourism information resources in the ubiquitous network space has become a critical problem that needs to be solved urgently in smart tourism.The research first builds a GTIM(Generalized Tourism Information Model)model.Then studies the acquisition and processing technology of ubiquitous tourism data.And finally based on spatial matching,buffer analysis,recommendation based on association rules and other methods,the integration of tourism-related information resources has been achieved,it enriches the existing theories and methods of geospatial data integration,and has certain reference value for multi-platform,multilevel,multi-type data association integration.The methods and application results can improve the real-time nature of tourism information and provide technical support for smart tourism,which has very important scientific and practical significance.The main work and results of the paper are reflected in:(1)Construction of general tourism information model.Based on the current highly popular and easily available POI(Point of Interest)data and ubiquitous internet tourism data,to complete the six major themes of food,hotel,vehicle,tourism,shopping and entertainment tourism information resource data dynamic integration.First of all,it is necessary to research and construct a tourism information integration framework model,in order to develop a ubiquitous internet tourism data dynamic integration method under the guidance of the model.(2)Acquisition and processing of ubiquitous internet tourism data(covering the six themes of food,hotel,vehicle,tourism,shopping and entertainment).The paper is based on the data application program interface provided by current mainstream map service platforms and the main Web page information extraction methods,combine with the increasingly popular Python web crawler technology,according to the structure of different categories of websites,to explore strategies and algorithms suitable for its page,then according to the module and order to analyze the web page,data classification,information extraction,etc.,it also cleans,filters,and converts the acquired tourism resource data to complete the acquisition and processing of related network information resource data involved in tourism.(3)Finally,based on the constructed generalized tourism information model,the paper uses the proposed ubiquitous internet travel data integration method to complete the ubiquitous travel data association and integration experiment.Experiments include: 1)Tourism POI integration from AMap and Baidu Map;2)Association between the tourism POI and the theme POI of food,hotel and shopping;3)Association and recommendation between tourism POIs based on Weibo data;4)Integration of tourism POI and travel diary data;5)Integration of restaurant POI and Meituan restaurant data;6)Integration of hotel POI and Ctrip hotel data.Experiments showed that the method proposed in this paper is feasible and can provide tourists with more accurate and realtime travel information,thereby improving the travel experience of tourists.