A Composite Similarity Measurement Method for Composition Results of Semantic Web Services

A measurement method and combined method technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as inability to evaluate matching degree, inability to handle availability of sub-services, etc., and achieve the effect of easy selection

Active Publication Date: 2016-05-04
广州全森信息科技股份有限公司
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Problems solved by technology

[0006] The purpose of the present invention is to solve the problems that the current measurement method of service combination results cannot handle the usability of sub-services, and cannot evaluate the matching degree of combination results in terms of sub-service associations and functional structures with user requests. Analyze the relationship and functional structure of services, and propose a composite similarity measurement method for the composition results of semantic Web services

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  • A Composite Similarity Measurement Method for Composition Results of Semantic Web Services
  • A Composite Similarity Measurement Method for Composition Results of Semantic Web Services
  • A Composite Similarity Measurement Method for Composition Results of Semantic Web Services

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[0034] The above content has fully disclosed the present invention, and the implementation of the present invention will be further described below in conjunction with the accompanying drawings, but the implementation and protection scope of the present invention are not limited thereto.

[0035] This example converts the service composition result into a directed hierarchical graph, as shown in the attached figure 1 As shown, among them,

[0036] Boxes represent subservices in the service composition result;

[0037] The circles represent the input, output, preconditions, and postcondition information of the subservice. The circle above the box is the input list of the sub-service; the circle on the lower half of the box is the output list of the sub-service; the circle on the left side of the box represents the precondition of the sub-service; the circle on the right side of the box The circle on the side represents the post-condition of the sub-service.

[0038] The asso...

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Abstract

The invention provides a complex similarity measurement method of semantic Web service composition results, which comprises the steps of showing the composition results obtained by a semantic Web service composition method with a directed hierarchy chart, analyzing a satisfactory situation of a input list of each sub-service according to the obtained directed hierarchy chart, judging the usability of the sub-services to obtain the performability of the sub-services and the composition results, analyzing the purpose of each output of each sub-service according to the obtained directed hierarchy chart, obtaining importance factors of the outputs for different purposes through analysis by an artificial intelligence method to calculate the weight of each sub-service, proposing a calculation method of association similarity of the sub-services according to the weights of the sub-services and the concept similarity of an IO (Input / output) association relationship, calculating the association similarity of the target outputs with the calculation method of the association similarity, and calculating a matching degree between the obtained composition results and a user request with the number of the sub-services in the composition results to ensure that a user can make an option on the service composition results.

Description

technical field [0001] The invention belongs to the technical field of semantic Web service composition, and in particular relates to a method for measuring similarity of semantic Web service composition results. Background technique [0002] Semantic Web service composition methods are divided into: business process-driven Semantic Web service composition and instant task-solving Semantic Web service composition: (1) Workflow-driven service composition method uses workflow as the basic model to realize semi-automatic service composition, which is influenced by Fixed process restrictions, unable to meet the needs of dynamic processes; (2) According to the service requests put forward by users, select several services for automatic combination in real time, mainly in three categories: based on Petri nets, based on AI theory and based on graph search, but none of them can Handle complex associations between sub-services. In the selection of the basic model of the combination ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/27
Inventor 刘发贵林跃东
Owner 广州全森信息科技股份有限公司
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