Service cluster constructing method based on semantic Web

Abstract

The invention discloses a service cluster constructing method based on a semantic Web. The service cluster constructing method comprises the following steps of S101 constructing a service space based on semantics, S102 building a mapping relation of a Web service and the service space, S103 constructing service clusters and a dynamic library of the service clusters and S104 describing the organization structures of the service clusters by a logic Petri net. According to the service clusters generated by the service cluster constructing method, only n concepts need to be quantified, the number of inquiring a body tree is n, and the time complexity of generating of the service clusters is greatly improved. According to the service cluster constructing method, the type of service ports and service quality are clarified through semantic concept blending, and the construction of the service clusters is reasonable. The service clusters are generated in the service space, the service clusters orienting the requirement of a user are matched, calculated and converted into coordinate inquiring, the more of the constructing basis of the service clusters is, the higher of the constructing precision of the service clusters is, the time complexity of the system for matching the service clusters according to the user need is small, and the limitation of a common service clustering method is solved.

Description

technical field [0001] The invention relates to a method for constructing service clusters based on semantic Web. Background technique [0002] With the development of Web service technology and popularization of applications, the number of services has increased rapidly, and different service providers have released a large number of services with the same or similar functions, which provides more choices for service requesters, and also increases user search and Bind the difficulty of the best service that suits you. The existing service mode returns a service that meets the request for the user. When the user's demand changes slightly or the current response service fails due to changes in the network environment, it is difficult to quickly find alternative services. The adaptability of the service response is poor, and the process of service composition changes. It is difficult to achieve dynamic adaptability for the overly complex and combined models. [0003] In orde...

AI Technical Summary

Problems solved by technology

[0010] Aiming at the above-mentioned technical problems existing in the prior art, the present invention proposes a service cluster construction method based on Semantic Web, which solves the problems of high clustering time complexity and low classification order in general service clustering methods , which solves the contradiction between the accuracy of service clustering and service response, and integrates the parameter interface

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