| With the rapid development of Internet technology, more and more enterprises start to publish infromation using the Web services. How to search the web service is particularly important. The traditional search engines are mostly limited in HTML web pages part. Service search engine arises and effectively solves the disadvantages of the general search engine, which is also more accurate to meet the demand of user. The mainpartinservice search engine iscontent analysis and index.In this thesis, we proposed a new service content index method that is different from key-based index system such as Woogle. This method indexs service name, port name, complex type name as well as creating a semantic label for service files by using clustering algorithms. In this way, we increase the efficiency, accuracy and popularity of the index and provide a more reasonable and comprehensive query result when user searchs in the web service engine.This thesis first analyses the system requirement. Then comes to the outline design and detailed designed of each module. At last, the thesis tests the sub system using different test cases. In the end of the thesis, the author summarized the service search engines index subsystem development process. |
