Towards Personalized Ranking in Web Service Selection
Web service discovery is one of the most important problems in implementing Service Oriented Architecture. Several approaches have been proposed to solve this problem among which semantic based web service discovery has been attained much importance by researchers in academic and industry community. However, there is a challenge in semantic web service discovery process, that is, among the retrieved set of semantically equivalent web service candidates, how to discern which one is the best? In this paper, a ranking framework is proposed in which querys context and web service candidates context is explored to assist matching beyond semantic level. We use users request history and current request to constitute querys context while employing association rule to explore web services candidates context. Furthermore, we propose a RC-IRF method to calculate each candidates invocation possibility in querys context and then the best suitable potential web service can be selected.
Wenge Rong Kecheng Liu Lin Liang
Informatics Research Centre University of Reading United Kingdom, RG6 6BX
国际会议
AiR08，EM2108，SOAIC08，SIOKM08，BIMA08，DKEEE08(2008IEEE国际电子商务工程学术会议)
西安
英文
165-172
2008-10-22（万方平台首次上网日期，不代表论文的发表时间）