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Mining frequent agent action patterns for effective multi-agent-based web service composition

Wang, Xiaofeng, Niu, Wenjia, Li, Gang, Yang, Xinghua and Shi, Zhongzhi 2012, Mining frequent agent action patterns for effective multi-agent-based web service composition, in Agents and data mining interaction : 7th International Workshop on Agents and Data Mining Interation, ADMI 2011, Taipei, Taiwan, May 2-6 2011 : revised selected papers, Springer-Verlag, Berlin, Germany, pp.211-227.

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Title Mining frequent agent action patterns for effective multi-agent-based web service composition
Author(s) Wang, Xiaofeng
Niu, Wenjia
Li, Gang
Yang, Xinghua
Shi, Zhongzhi
Title of book Agents and data mining interaction : 7th International Workshop on Agents and Data Mining Interation, ADMI 2011, Taipei, Taiwan, May 2-6 2011 : revised selected papers
Editor(s) Cao, Longbing
Bazzan, Ana L. C.
Symeonidis, Andreas L.
Gorodetsky, Vladimir I.
Weiss, Gerhard
Yu, Philip S.
Publication date 2012
Series Lecture notes in artificial intelligence ; 7103
Chapter number 22
Total chapters 14
Start page 211
End page 227
Total pages 17
Publisher Springer-Verlag
Place of Publication Berlin, Germany
Keyword(s) action Mining
DDL reasoning
multi-agent
planning
service composition
Summary The dynamic description logic (DDL) is utilized as one emerging AI planning-related solution for automatic Web service composition. However, reasoning utilization when facing the real world service applications in such DDL-related solutions is still an open problem. In this paper, we propose the cooperative reasoning-based multi-agent model (CREMA) which can systematically incorporate DDL action reasoning with data mining, together with a support-based planning method for task decomposition in order to improve the overall throughput of the Web service execution. The case study and experimental analysis demonstrates the capability of the proposed approach.
ISBN 9783642276088
9783642276095
ISSN 0302-9743
1611-3349
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
Copyright notice ©2012, Springer-Verlag Berlin Heidelberg
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044959

Document type: Book Chapter
Collection: School of Information Technology
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Created: Tue, 01 May 2012, 14:58:21 EST