CARSA : A context-aware reasoning-based service agent model for AI planning of web service compostion

Niu, Wenjia, Li, Gang, Tang, Hui, Zhou, Xu and Shi, Zhongzhi 2011, CARSA : A context-aware reasoning-based service agent model for AI planning of web service compostion, Journal of Network and Computer Applications, vol. 34, no. 5, pp. 1757-1770.

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Title CARSA : A context-aware reasoning-based service agent model for AI planning of web service compostion
Author(s) Niu, Wenjia
Li, GangORCID iD for Li, Gang
Tang, Hui
Zhou, Xu
Shi, Zhongzhi
Journal name Journal of Network and Computer Applications
Volume number 34
Issue number 5
Start page 1757
End page 1770
Total pages 14
Publisher Academic Press
Place of publication London
Publication date 2011
ISSN 1084-8045
Keyword(s) semantic webservices
service composition
context management
dynamic description logic
reasoning optimization
Summary In order to achieve automatic and more intelligent service composition, dynamic description logic (DDL) is proposed and utilized as one emerging logic-level solution. However, reasoning optimization and utilization in such DDL-related solutions is still an open problem. In this paper, we propose the context-aware reasoning-based service agent model (CARSA) which exploits the relationships among different service consumers and providers, together with the corresponding optimization approach to strengthen the effectiveness of Web service composition. Through the model, two reasoning optimization methods are proposed based on the substitute relationship and the dependency relationship, respectively, so irrelevant actions can be filtered out of the reasoning space before the DDL reasoning process is carried out. The case study and experimental analysis demonstrates the capability of the proposed approach.
Language eng
Field of Research 080505 Web Technologies (excl Web Search)
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2011, Academic Press
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Document type: Journal Article
Collection: School of Information Technology
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