Web service based simulating functional information clustering method

A technology of simulation function and clustering method, which is applied in special data processing applications, instruments, electrical digital data processing, etc.

Active Publication Date: 2013-05-01
BEIJING SIMULATION CENT
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the above existing technologies, the present invention provides a method for clustering simulation function information based on Web servic

Method used

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  • Web service based simulating functional information clustering method
  • Web service based simulating functional information clustering method
  • Web service based simulating functional information clustering method

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Embodiment Construction

[0029] The embodiment here takes the simulation service as an example to illustrate the specific method of the present invention, and the present invention is also applicable to other related applications. like figure 1 Shown is a schematic flowchart of a method for clustering simulation function information based on Web services in the present invention, and the steps of the method will be described in detail below.

[0030] Step 1: Analyze the information of the corresponding elements in the WSDL files associated with the simulation service in any two simulation services, calculate the similarity of the corresponding elements of each WSDL file, and use the integrated value of these similarities as any two Functional similarity of simulated services.

[0031] Each simulation service has a WSDL file associated with it, which describes the functions, interfaces, parameters and other information of the simulation service. Different elements have different functions when measur...

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Abstract

The invention relates to a Web service based simulating functional information clustering method. According to the method, a large quantity of available simulating services at a simulating service registration center are clustered and analyzed according to the functional information, and a measuring method for functional similarity of layered simulating services and a preprocessing method for service description information according to a programming style and a naming rule are respectively provided. Besides, a similarity chart is constructed by setting a functional threshold parameter, so that a simulating service functional similarity network is obtained. Lastly, a structuring network clustering algorithm is combined for clustering the simulating services at the simulating service registration center. An experimental result shows that the provided clustering method can effectively promote the Web service clustering effect, can improve the detecting property of the simulating services and can realize the quick and accurate searching for the required services from the large quantity of available simulating services.

Description

technical field [0001] The invention relates to a simulation function information clustering method, in particular to a web service-based simulation function information clustering method. Background technique [0002] With the increasing number of simulation systems, the structural differences between simulation systems distributed in different departments are getting bigger and bigger, and these legacy simulation systems often need to be interconnected. In addition, the newly developed simulation system also needs to communicate with the legacy system, which has achieved the purpose of effectively utilizing the existing system. However, the heterogeneity between legacy simulation systems and newly developed simulation systems creates difficulties for the systems to communicate with each other. Using the characteristics of loose coupling, dynamic expansion and technology neutrality of Web service technology, the simulation system can be packaged as a service and transforme...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 毕敬
Owner BEIJING SIMULATION CENT
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