Cloud service functional attribute filtering method based on domain ontology

Abstract

The invention provides a cloud service functional attribute filtering method based on domain ontology, relating to the field of service-oriented collaboration. The method includes the following steps:matching a category of a service requested by a cloud service requester with a category of a specific cloud service, and determining whether the cloud service makes all predicate logics included in the cloud service request true, if true, performing filtering on value attributes, calculating the set similarity and comprehensive similarity of input / output ontology, and then adopting a relaxation matching strategy to filter the cloud services. According to the scheme of the invention, an ontology technology is applied to the cloud collaboration, the cloud service functional attribute filteringmethod based on the domain ontology is proposed, and compared with a traditional UDDI-based service discovery mechanism, semantic information described by cloud service functions are fully used, so that the cloud services required by users can be discovered more accurately.

Description

technical field [0001] The invention relates to the field of service-oriented collaboration, in particular to a screening method. Background technique [0002] Cloud service discovery is one of the core functions of cloud collaboration, and functional attribute screening of cloud services is an important technology for cloud service discovery. Cloud service functional attribute screening refers to selecting all cloud services that can meet their functional attribute requirements in the cloud service resource pool according to the cloud service request of the service requester to form a cloud service candidate set, so that in the non-functional attribute optimization stage Perform service optimization. [0003] Traditional cloud services use standard Extensible Markup Language (XML) to describe services and their operations. UDDI is the most commonly used service discovery method in web services. The core of the UDDI architecture is a service registry, which functions as a...

AI Technical Summary

Problems solved by technology

[0004] (1) UDDI is based on XML and cannot provide semantic information of services;

[0005] (2) It cannot accurately describe the search target;

[0006] (3) It cannot quantify the degree of matching between cloud services and search targets;

[0007] (4) The keywords in the service request can be semantically similar to the description of the cloud service but different in syntax, or the same in syntax but different in semantics, so this syntax matching method often leads to lower full search rate and precision Rate

[0008] Therefore, the UDDI-based cloud service discovery method that performs exact matching through service keywords (mainly including service ID, service name and its description, etc.) has low search accuracy in practical applications.

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