• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Xiaoning, Ma (Xiaoning, Ma.) | Baotian, Dong (Baotian, Dong.) | Ming, He (Ming, He.)

Indexed by:

EI Scopus

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 treebased 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. © 2008 IEEE.

Keyword:

Graph algorithms Intelligent computing Trees (mathematics) Web services Quality of service Learning algorithms Websites

Author Community:

  • [ 1 ] [Xiaoning, Ma]School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China
  • [ 2 ] [Baotian, Dong]School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China
  • [ 3 ] [Ming, He]College of Computer Science, Beijing University of Technology, Beijing, 100124, China

Reprint Author's Address:

Show more details

Related Keywords:

Related Article:

Source :

Year: 2008

Volume: 2

Page: 23-27

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

Online/Total:499/10587431
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.