TY - GEN
T1 - Towards personalized ranking in web service selection
AU - Rong, Wenge
AU - Liu, Kecheng
AU - Liang, Lin
PY - 2008
Y1 - 2008
N2 - 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 query's context and web service candidate's context is explored to assist matching beyond semantic level. We use user's request history and current request to constitute query's context while employing association rule to explore web services candidate's context. Furthermore, we proposea RC-IRF method to calculate each candidate's invocation possibility in query's context and then the best suitable potential web service can be selected.
AB - 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 query's context and web service candidate's context is explored to assist matching beyond semantic level. We use user's request history and current request to constitute query's context while employing association rule to explore web services candidate's context. Furthermore, we proposea RC-IRF method to calculate each candidate's invocation possibility in query's context and then the best suitable potential web service can be selected.
UR - https://www.scopus.com/pages/publications/58149098749
U2 - 10.1109/ICEBE.2008.106
DO - 10.1109/ICEBE.2008.106
M3 - 会议稿件
AN - SCOPUS:58149098749
SN - 9780769533957
T3 - IEEE International Conference on e-Business Engineering, ICEBE'08 - Workshops: AiR'08, EM2I'08, SOAIC'08, SOKM'08, BIMA'08, DKEEE'08
SP - 165
EP - 172
BT - IEEE International Conference on e-Business Engineering, ICEBE'08 - Workshops
T2 - IEEE International Conference on e-Business Engineering, ICEBE'08
Y2 - 22 October 2008 through 24 October 2008
ER -