標題: A trustworthy QoS-based collaborative filtering approach for web service discovery
作者: Lin, Szu-Yin
Lai, Chin-Hui
Wu, Chih-Heng
Lo, Chi-Chun
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: Service selection;Service discovery;Quality of Service (QoS);Collaborative filtering
公開日期: 1-七月-2014
摘要: 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.
URI: http://dx.doi.org/10.1016/j.jss.2014.01.036
http://hdl.handle.net/11536/24630
ISSN: 0164-1212
DOI: 10.1016/j.jss.2014.01.036
期刊: JOURNAL OF SYSTEMS AND SOFTWARE
Volume: 93
Issue: 
起始頁: 217
結束頁: 228
顯示於類別:期刊論文


文件中的檔案:

  1. 000336877500013.pdf