Web service clustering method based on labels

A web service, clustering method technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as low recall rate, noise sensitivity, etc.

Active Publication Date: 2012-08-01
ZHEJIANG UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, this method has certain defects, such as noise sensitivity, low recall rate, etc.

Method used

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  • Web service clustering method based on labels
  • Web service clustering method based on labels
  • Web service clustering method based on labels

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Embodiment Construction

[0065] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0066] The invention provides a method for clustering web services by using user tags and WSDL files, thereby improving service search results, which can effectively improve the efficiency and accuracy of service discovery. By parsing the information in the WSDL file of the web service, extracting characteristic values ​​from it, and using these characteristic values ​​to calculate the WSDL similarity between services; the invention also proposes a method for calculating the similarity between services by using tags, and at the same time, proposes Two label recommendation methods are proposed to solve the data sparse problem that affects the clustering results due to too few labels. By synthesizing the eigenvalue similarity and label similarity of WSDL, many services can be classified into different classes more accurately, and each class include...

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Abstract

The invention discloses a web service clustering method based on labels. The web service clustering method comprises the following steps: 1) collecting WSDL (Web Services Description Language) files and label information of web services on the internet; 2) extracting characteristic values of the web services from the WSDL files, wherein the characteristic values comprise contents, types, messages, ports and service names; 3) carrying out similarity computation on the characteristic values and the label information of the web services, and computing the comprehensive similarity according to the characteristic values and the label information; and 4) clustering the web services by using an WTCluster algorithm according to the comprehensive similarity, wherein more accurate clustering results can be provided by using the WSDL files and the label information in combination with the WTClusterweb service clustering method in the prior art. The optimal mixture ratio can be adjusted for data types with different characteristics by adjusting system parameters lambda, omega 1, omega 2, omega 3, omega 4 and omega 5, and two label recommending methods are proposed for solving the problem of excessively few service labels on the internet, so that the clustering effect of the WTCluster algorithm can be improved by using the labels.

Description

technical field [0001] The invention belongs to the field of web services, in particular to a tag-based clustering method for web services. Background technique [0002] Service-Oriented Computing (SOC) provides us with a way to seamlessly aggregate single-function applications into large-grained value-added services. Today, service composition has attracted the attention of the industry and has been applied to various fields, such as workflow management, finance, e-commerce and so on. Therefore, how to accurately discover web services that meet user needs has become an important research direction. A Web service is a set of software objects that implement a certain function or execute a preset process on the Internet. They are published on the Web and can be discovered and invoked by users. After invoking the service, the user can use the tag to comment on the service. The tag is usually in the form of words or phrases, and can be a description of the service function or ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 吴健冯怡鹏陈亮尹建伟李莹邓水光
Owner ZHEJIANG UNIV
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