Journal
JOURNAL OF SYSTEMS AND SOFTWARE
Volume 93, Issue -, Pages 217-228Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jss.2014.01.036
Keywords
Service selection; Service discovery; Quality of Service (QoS); Collaborative filtering
Funding
- National Science Council of the Taiwan [NSC 99-2410-H-009-036-MY3, NSC 100-2410-H-033-037]
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Many network services which process a large quantity of data and knowledge are available in the distributed network environment, and provide applications to users based on Service-Oriented Architecture (SOA) and Web services technology. Therefore, a useful web service discovery approach for data and knowledge discovery process in the complex network environment is a very significant issue. Using the traditional keyword-based search method, users find it difficult to choose the best web services from those with similar functionalities. In addition, in an untrustworthy real world environment, the QoS-based service discovery approach cannot verify the correctness of the web services' Quality of Service (QoS) values, since such values guaranteed by a service provider are different from the real ones. This work proposes a trustworthy two-phase web service discovery mechanism based on QoS and collaborative filtering, which discovers and recommends the needed web services effectively for users in the distributed environment, and also solves the problem of services with incorrect QoS information. In the experiment, the theoretical analysis and simulation experiment results show that the proposed method can accurately recommend the needed services to users, and improve the recommendation quality. (C) 2014 Elsevier Inc. All rights reserved.
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