Method for interactively combining Web services based on precondition and post-condition

Abstract

The invention discloses a method for interactively combining Web services based on a precondition and a post-condition. The method comprises the following steps: 1, a user requirement rule base establishing module expresses input, output and constraint conditions of a user into a user requirement rule to establish a user requirement rule base; 2, a service rule base establishing module generates service rules corresponding to all services to establish a service rule base; and 3, an automatic service combining module establishes a corresponding spanning tree for each target output object required by the user by using the user requirement rule base and the service rule base and combines the spanning trees by using a constraint rule in the user requirement rule base to obtain the flow of a composite service. By adopting the method, the variability, the openness and the dynamics of the Internet can be adapted, Web service resources on the Internet can be fully integrated and utilized, various data are compared, acquired and computed, and the expandability and the automatic degree of a Web service combination of a computer system are enhanced.

Description

technical field [0001] The invention relates to Web service composition technology, in particular to an interactive composition method of Web services based on pre- and post-conditions. Background technique [0002] Web service composition refers to the combination of several Web services when a computer system executes a single Web service (the service referred to below in the present invention, which also refers to Web services) cannot meet the user's needs, to form a large-grained Composite services of process logic and the process of enabling a computer system to meet user needs through the execution of composite services. [0003] The category of service portfolio can have many different interpretations according to different classification standards. According to the degree of automation of service combination, it can be divided into: 1. Manual combination method, which requires human participation in the whole process; 2. Semi-automatic combination method, the premis...

AI Technical Summary

Problems solved by technology

There are two defects in the above-mentioned service combinations of the prior art: one is that their planning is often carried out in a static and closed environment, which cannot adapt to the variability, openness and dynamics of the Internet; the other is that when the assembly process involves When there are a large number of web services, or when there are a large number of web services to choose from, its scalability is not enough

However, this solution has obvious shortcomings: planning is often carried out in a static and closed environment, which cannot adapt to the variability, openness and dynamics of the Internet; the combination and execution are not automatic enough, and the scalability is poor

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