Title :
A Semantic Web Service Composition Method Based on an Enhanced Planning Graph
Author :
Li, Xingguo ; Zhao, Qifei ; Dai, Ying
Author_Institution :
Sch. of Manage., Hefei Univ. of Technol., Hefei, China
Abstract :
Based on an AI enhanced planning graph, this paper presents a new method for semantic Web service composition. The main enhancement focuses on the state layer of planning graph. First, we cluster the state parameters by their semantic in each state layer, then we use a backward indexing method to find the Web services composition chain according to services´ QoS(quality of service). Using this method, Web services with better QoS will be picked out for the composition solution, and redundant Web services can be eliminated.
Keywords :
Web services; graph theory; quality of service; semantic Web; QoS; backward indexing method; enhanced planning graph; quality of service; semantic Web service composition method; Conferences; Indexing; Planning; Quality of service; Semantic Web; Semantics; Web services; Web services composition; planning graph; semantic Web service;
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
DOI :
10.1109/ICEE.2010.578
