Research And Implementation Of Vertical Search Engine And Semantic-Based Web Service Discovery

With the scale of the Internet’s development growing and the Internet’s broadly penetration field the development of the global information technology has become indispensable.As the same time the information technology in the context of the Internet to accelerate the popularization and development of people’s lives and also continue to relate to all aspects of production.As an Internet access mode,Web Service is a kind of distributed computing model,which is an effective mechanism for data access,resource sharing and information integration on the Internet.Web service technology allows people to get their own service based on the Internet,so this method has been applied to the general and convenient.The Web Service has developed for nearly twenty years,in this decade,the scale of computer application to accelerate the expansion of a large number of program code and complex application connection leads to the development and maintenance of distributed application cost is more and more big,the Web Service with its own highly inheritable advantages,it can solve the above problems,so as a solution the Web Service has been widely applied in distributed environment.Traditional Web Service discovery relies on the UDDI center,which is more convenient in the release of services,but there are a lot of shortcomings that can not be ignored.The Web Service discovery base keyword also exists the problem of recall and precision.In this paper,some of the current Web Service discovery methods are studied and analyzed,focusing on solving the existing Web Service discovery method and its shortcomings,proposes a model of vertical search engine and service based on semantic Web.The model mainly comprises the following steps: first,use web crawling technology,access may contain Web service information,analyzes WSDL links to address the main attributes and the user’s attention,the establishment of Web service index.Two,in the search stage to join the semantic features,although the search engine’s search method is based on keywords,here can be used in different ways to expand the expansion of keywords.This can improve the recall and precision.Finally,the proposed Web service discovery model is built based on the experiment and development platform,implementation of the model,and typical data are analyzed and summarized the findings and the validity of the model,and the keyword method based on KBWSE were compared,analyzed the models in the recall and query efficiency on the system characteristics found in this paper.