Design And Implementation Of Presentation And Visualization Function Of Service Information

With the development of Internet technology, more and more web services are published on the Internet. Faced with the large number of web services, how to efficiently and accurately obtain the required services for users become more important. According to the specific users for web services, web service vertical search engine had emerged. Dispite web service search engine can improve the service retrieval efficiency compared to the general search engine, however there are still some specific deficiencies:service information for users to reference is too scarcity to efficiently filter out the required services; Ambiguity exists in the search results, users need to take some time to locate and choose the required services; Sort principle of the search results isn’t transparent to users,users can not reorder the search results according to their needs.This paper aims from the users’perspective, through mining service information, processing and integrating of the service information combining with search results, at last presenting them through visual rendering such as service maps, service cluster and service correlation. Through the above visual presentation, service retrieval efficiency and user experience are improved, and the service search engine deficiencies are made up.The main content of this paper is to design and implement the service information presentation and visualization. In order to achieve this function, we first mine the service information that are useful for users to choose a service, including service tag, service QoS. Then, combined with the search results and presentation form, we process and integrate the service information, including geographic information integration, service clustering and correlation calculation. For service clustering, this paper used a cluster algorithm based on description priority, cluster the service information and present the cluster results to users; For correlation calculation, this paper presents a kind of calculation method based on variety of filtering principles, and also researched and solved the problems encountered like the similarity calculation between simple words and combination words, combination words and combination words. This paper proposes and implements the layered architecture of service data layer, service information collection layer, service information integration layer, and interface layer. Then this paper executes functional tests、performance tests and user experience tests for each module. Finally, this paper states a summary of the results of the project and points out the future research directions.