A survey on clustering methods in web service discovery

Several unclassified Web services are available in the Internet which is difficult for the user to choose the correct Web services. This raises service discovery cost, transforming data time between services and service searching time. Adequate methods, tools, technologies for clustering the Web services have been developed. The clustering of Web services is done manually. This survey is organized based on clustering of Web service discovery methods, tools and technologies constructed on following list of parameters. The parameters are clustering model, graphs and environment, different technologies, advantages and disadvantages, theory and proof of concepts. Based on the user requirements results are different and better than one another. If the Web service clustering is done automatically that can create an impact in the service discovery and fulfills the user requirements. This article gives the overview of the significant issues of the different methods and discusses the lack of technologies and automatic tools of the Web service discovery.