Semantics-based automatic service combination system for web service relation network

Abstract

The invention discloses a semantics-based automatic service combination system for web service relation network, which inputs a user request and a field body description, and outputs a solution for meeting the functional requirements of a user. The system is characterized by comprising various data sets and modules, and executing automatic service combination according to a first stage and a second stage, wherein the first stage mainly comprises a mixed service discovery module, a service transition and relational matrix establishment module, an operation instantiation module, an action dependency graph establishment module and an action filtering module, while the second stage mainly comprises a case acquisition module, a case modification module, a case correction module and an abstractservice instantiation module. Compared with the prior art, a mixed service discovery algorithm also can accurately and highly efficiently find out proper web services from a service network to conclude and sort out the discrete service information on the web service relation network, and the combination of the mixed service discovery algorithm and the web service relation network also greatly improves the service discovery efficiency.

Description

technical field [0001] The present invention relates to a web service relational network based on semantics, in particular to a case-based planning (Case Based Planning) web service automatic composition method based on the web service network. Background technique [0002] In the prior art, the automatic composition methods of web services based on AI planning mainly include scenario calculus planning method, hierarchical task network planning method and rule-based planning method, etc. Although these methods can dynamically generate web service composition schemes, dynamically link concretely implemented web services, and can adapt to the dynamic changes of web services, they can better meet the ever-changing needs of business; but they also have the following problems: [0003] 1. Unable to accurately and efficiently search for suitable web services in the web service space; [0004] 2. AI planning cannot obtain web service composition by summarizing and organizing exist...

AI Technical Summary

Problems solved by technology

[0003] 1. Unable to accurately and efficiently search for suitable web services in the web service space;

[0004] 2. AI planning cannot obtain web service composition by summarizing and organizing existing discrete service information. In this way, sometimes the search space required to realize the web service composition in AI planning is very large, which leads to the realization of less efficient

[0005] 3. It is difficult to evaluate the matching degree between the generated web service composition scheme and user needs

[0006] At present, many studies are devoted to improving the above-mentioned problems in the combination method based on AI planning, such as narrowing the search space by improving the service discovery algorithm, improving the efficiency of planning and the correctness of the combination scheme by improving the planning algorithm, but none of them have started from Fundamentally solve the problems faced by the current combination method

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