Implementation method of Web service discovery based on neural network clustering optimization

Abstract

The invention provides an implementation method of Web service discovery based on neural network clustering optimization, and the method provided by the invention is used for rapidly and accurately discovering Web service satisfying user requirements under an open network environment. In the method provided by the invention, a service request subsystem, a service providing subsystem, a service registration center and a service discovery intermediary subsystem are utilized, wherein the service discovery intermediary subsystem is the core component of the system and comprises a service showing module, a service classifying module and a service matching module. According to the invention, the semanteme Web service discovery primary system of clustering optimization is realized; the evaluating result on the true Web service data set shows that the implementation method ensures relatively higher service discovery efficiency and precision, and the method is easy to implement; the system is flexible, and the cost is low; and the method is easy to popularize.

Description

technical field [0001] The invention relates to a method for realizing semantic Web service discovery based on neural network clustering optimization, which is mainly used to solve the problem of quickly, accurately and efficiently discovering Web services that meet user needs in an open network environment, and belongs to the field of distributed computing. Background technique [0002] With the rapid development and popularization of Internet technology, how to realize the sharing and integration of various resources in an open and dynamic network environment has become one of the important challenges faced by computer software technology. In recent years, more and more enterprises have transferred their core business to the Internet, and e-commerce technology has developed from simple Web information publishing to data sharing and information integration within the Internet. More and more applications show that Web service, as a new type of distributed computing model, im...

AI Technical Summary

Problems solved by technology

However, the construction and maintenance of ontology libraries in various fields requires the participation of domain experts, which consumes a lot of manpower and material resources. More importantly, there is still a lack of standards for integrating and reusing existing ontology libraries. There is no unified ontology-based Semantic Web Services Language

Therefore, if WSDL is completely abandoned and a new language is used to describe Web services, it will consume huge resources, which is obviously unrealistic. It is these difficulties that restrict the large-scale practical application of ontology-based semantic Web services

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