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Web service hybrid evolutionary clustering method based on membrane computing

A technology of hybrid evolution and clustering methods, applied in the field of mashup service clustering and SOAP service clustering, which can solve the problems of limited description text information and no comprehensive consideration of word frequency and correlation interaction.

Active Publication Date: 2020-01-07
ZHEJIANG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0005] The existing Mashup service clustering methods usually cluster by analyzing the description text of the service, but they do not comprehensively consider the interaction of word frequency and correlation in the description text information, and the description text information of the service is limited, and other information of some services Such as service API, service label, etc., which are important in the function description of the service

Method used

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  • Web service hybrid evolutionary clustering method based on membrane computing
  • Web service hybrid evolutionary clustering method based on membrane computing
  • Web service hybrid evolutionary clustering method based on membrane computing

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Embodiment Construction

[0205] The present invention will be further described below.

[0206] A hybrid evolutionary clustering method for web services based on membrane computing, comprising the following steps:

[0207] The first step: Formal definition, the process is as follows:

[0208] 1.1 mashup service definition

[0209] 1.1.1 Service document vector model: the preprocessed service document vector model is a quaternion, RSM=, where:

[0210] RD is a domain feature vector, which represents service domain information, and a service is defined to have m domains, then RD={RD 1 ,RD 2 ,...,RD m};

[0211] RT is the service description text feature vector, assuming there are n service description texts in each domain, then the description texts of m domains are expressed as RT={RT 11 ,RT 12 ,…,RT 1n ,…,RT mn};

[0212] RA is the service API feature vector;

[0213] T is the service tag feature vector;

[0214] Each service description text RT ij The feature words in are expressed as FW...

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Abstract

The invention discloses a Web service hybrid evolutionary clustering method based on membrane computing. The method comprises the following steps of 1, performing formalized definition; 2, calculatingservice similarity; 3, performing service clustering; 4, updating the globally optimal object by the data cells according to an operation rule; and 5, stopping and outputting. Each tissue cell in thesystem is used as an independent execution unit to evolve and run in a parallel structure; therefore, the system is distributed in parallel; in the system, a series of calculation steps are defined as one calculation step, starting from tissue cells containing an initial data cell object set, in each calculation, it means that one or more evolutionary rules are acted on the current data cell object set, when shutdown constraint conditions of the system are met, the system automatically shuts down, and calculation results are presented in the external environment of the system. According to the method, the characteristics of the service field can be better obtained, the similarity can be more accurately calculated, and a better clustering result is obtained.

Description

technical field [0001] The invention relates to the clustering problem of web services, and mainly relates to the clustering method of mashup service clustering and SOAP service in REST data service. [0002] technical background [0003] With the development of Web 2.0 technology, the number and types of services on the Internet are increasing, which makes it possible to develop IoT applications in an easier and faster way, making it possible to accurately and effectively discover the required atomic services or services Composition becomes a problem. Service clustering technology can effectively promote service discovery, and in recent years, many different types of service clustering methods have been proposed to cluster Mashup services, Web APIs and Web services. [0004] Currently, most existing methods perform service clustering operations for SOAP services by using service function descriptions (WSDL documents) to calculate the functional similarity between Web servic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06K9/62H04L12/24H04L29/08
CPCG06F16/35H04L67/02H04L69/329H04L41/0273H04L67/51G06F18/23213
Inventor 陆佳炜赵伟周焕马超治王小定徐俊肖刚
Owner ZHEJIANG UNIV OF TECH
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