Research For The Method Of Personalized Travel Information Service Composition

With the enhance of Internet, as a new type of distributed component model, Webservice was playing an increasingly important role on e-commerce, enterpriseapplication integration and other fields. Because of the limitation of the function of asingle Web service and a single web service had not met the need of the requirement,how to combine multiple web services together to complete a complex task hadbecome the key concern of industry and academia.Now, more and more people chose to travel to relieve the pressure of live andwork. There must be a detailed schedule, you need to know the weather, travel mode,accommodation, tourist attractions and other information. On the one hand, if youinquired each information page by page and required open many pages, it is a verytedious and time-consuming process. Therefore, how to compose all sorts of travelrelated information service effectively was a key to solve the tourist information. Onthe other hand, because of each different need of information, you need to have amechanism to achieve personalized information selection and combination.This paper presented a thorough study of these aspects, on this basis, and thenmade the following some specific works:(1) On the basis of the analysis of web services composition and the theory ofPetri-net, the paper proposed a model of tourist information service composition. Itdeclared the model was safe by the theory of Petri net, then, through the reachablemarking graph to explain the model was reliable and effective. Finally, through apractical case, we proved the correctness and effectiveness of these approaches.(2) Starting with fuzzy Petri net, the state analysis and the fuzzy production ruleof the travel information service composition process were given. The article wasundertaken to set up a composite model of information services for tourists. When thepartial services were chose, users also participated in the information choice, it madethe operation result of system more accord with the personal demand of customers.Finally, through a practical case, we proved the correctness and effectiveness of theseapproaches.