DocumentCode :
2436715
Title :
AND/OR Tree Search Algorithm in Web Service Composition
Author :
Ma, Xiaoning ; Dong, Baotian ; He, Ming
Author_Institution :
Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing
Volume :
2
fYear :
2008
fDate :
19-20 Dec. 2008
Firstpage :
23
Lastpage :
27
Abstract :
Composition of web services has received much interest to support business-to-business or enterprise application integration. Web service composition lets developers combine single services as a composite one to achieve complex goal. It is a highly complex task and already beyond the human capability to deal with the whole process manually, so AI-based approach for automated web service composition has drawn much research attention. AI-based service composition uses some algorithm in Artificial Intelligence, such as AI planning and graph searching. Based on analysis of the limitation of those two approaches, an AND/OR tree-based approach for web service composition is proposed in this paper which is based on Artificial Intelligence. The Input/Output Dependency AND/OR Tree is represented first, and then AND/OR tree search algorithm including basic search algorithm and special algorithm is discussed. With that, an implementation is provided to described whole process when apply AND/OR Tree search algorithm in web service composition field.
Keywords :
Web services; artificial intelligence; commerce; trees (mathematics); AND/OR tree search; Web service composition; artificial intelligence; business-to-business; enterprise application integration; graph searching; Application software; Artificial intelligence; Computational intelligence; Computer industry; Computer science; Conferences; Educational institutions; Road transportation; Tree graphs; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
Type :
conf
DOI :
10.1109/PACIIA.2008.341
Filename :
4756727
Link To Document :
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