Domain-and-theme-oriented Web service clustering method

Abstract

The invention relates to a domain-and-theme-oriented Web service clustering method, which comprises the following steps of: 1, collecting a Web service description document, and preprocessing the collected document; 2, performing domain-oriented classification on a Web service by an iterative supporting vector machine; and 3, and performing theme-oriented clustering on the Web service in a specific domain by using a probability-based Web service clustering method. The domain-and-theme-oriented service clustering method has the beneficial effects that 1) the Web service can be clustered, whichis described by a web service description language (WSDL) mode, an ontology Web language for services (OWL-S) mode, a text mode and the like, and relatively high generality is realized; 2) relativelyhigh efficiency is achieved; 3) the Web service is clustered on the basis of domain-oriented classification, and compared with the method for directly clustering the Web service, the method is relatively high in clustering accuracy; and 4) the Web service clustering result can be used in Web service finding and Web service combination and can be used for Web service recommendation, and the methodis wide in applicability.

Description

technical field [0001] The invention belongs to the technical field of service computing, and in particular relates to a domain subject-oriented Web service clustering method. Background technique [0002] The rapid development of the Internet has promoted the organic integration of the network and software, and the development of software services on the Internet has become increasingly popular. Its main feature is to publish the functions of software components in the form of Web services to promote software reuse among heterogeneous platforms, or to deliver software to users in the form of Web services. With the development of Service-Oriented Architecture (Service-Oriented Architecture, SOA) and Software as a Service (Software as a Service, SaaS) technology, service-oriented software development is gradually becoming the mainstream trend of software development on the Internet. Under this trend, the scale of Web services on the Internet is showing a trend of rapid growt...

AI Technical Summary

Problems solved by technology

However, the current Web service clustering methods have the following problems: (1) Most Web service clustering methods are based on similarity measures and specific thresholds, and the selection of thresholds is often difficult and will affect the clustering accuracy; moreover, similarity The setting of weight parameters in different aspects during degree calculation will also affect the clustering performance to a certain extent; (2) The type of Web service documents used for clustering in the Web service clustering method is relatively simple, and the RESTful documents described by natural language text Relatively little attention has been paid to Web services; (3) Most of the existing clustering methods directly cluster from the functions, processes, and Quality of Service (QoS) of Web services, without considering the domain characteristics of Web services

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