Composition Oriented Semantic Relationships Mining Framework Research

Abstract:

In order to improve the efficiency of service discovery and service composition, this paper proposes a Composition oriented Web services semantic relationships mining framework. Firstly, Web services need to be pretreated, which are filtered based on QoS; and then adopt the method of service functional clustering to generate service classes, which largely reduces the services search space and improve the efficiency of service discovery; Secondly, in order to excavate the semantic relationships between service classes that meet the business logic requirement, we need to set the composition rules between service classes; Finally, using two stages of mining algorithms to excavate the semantic relationships between service classes. Experimental results are given to validate the feasibility and validity of our framework.

• Periodical: Applied Mechanics and Materials (Volumes 513-517)
• Pages: 470-473
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.513-517.470
• Online since: February 2014
• Authors: Zheng De Zhao*, Yue Hui Cui, Jian Jun Li
• Keywords: Semantic Relationships Mining, Service Class, Service Composition, Service Discovery, Services Clustering

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