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By using our site, you agree to our collection of information through the use of cookies. To learn more, view our Privacy Policy. To browse Academia. The task of allocating a category or class to a web service from the existing collection of web services is known as web services classification. Currently, manually discovering the desired web services from the repository or manually organizing the web services as per category is a challenging job.
The reason behind this is the increasing number of web services that are registered to the repository. Hence, web service classification plays a significant role in web service technology and service-oriented architecture. There are numerous methods that can be implemented for classification of web services. The main emphasis of this study is reviewing the machine-learning algorithms that can efficiently classify web services to their respective category.
This paper reviews the available research methods of web services classification. The research papers published between and are considered here for writing this survey paper. This paper explains various machine learning approa A Web service is a Web accessible software that can be published, located and invoked by using standard Web protocols.
Automatically determining the category of a Web service, from several pre-defined categories, is an important problem with many applications such as service discovery, semantic annotation and service matching. AWSC exploits the connections between the category of a Web service and the information commonly found in standard descriptions. In addition, AWSC bridges different styles for describing services by combining text mining and machine learning techniques.
Experimental evaluations show that this combination helps our classification system at improving its precision. In addition, we report an experimental comparison of AWSC with a related work. Service Oriented Computing and Applications, Web service classification, a task of assigning a category to the service from a predefined set, is a challenging task nowadays as manually organizing and searching services are simply not feasible, given the time constraints or the exponentially growing number of services.