Agent-Based task decomposing technique for web service composition

Authors:
Wenjuan Lian;Hua Duan;Jingjing Yan;Yongquan Liang;Qingtian Zeng
Affiliations:
College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China;College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China;TaiZhou Vocational and Technical College, Taizhou, Zhejiang, China;College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China;College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China
Venue:
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
Year:
2012

Citing 6
Cited 0

Combining Semantic Web technologies with Multi-Agent Systems for integrated access to biological resources

Journal of Biomedical Informatics
An ontology, intelligent agent-based framework for the provision of semantic web services

Expert Systems with Applications: An International Journal
An Agent-Based Web Service Composition Using Semantic Information and QoS

KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Recursive multi-agent system for dynamic and adaptative web services composition

Proceedings of the International Conference on Management of Emergent Digital EcoSystems
An Agent-Based Framework for Personalized Web Service Recommendation

IWCSE '09 Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 02
CARSA: A context-aware reasoning-based service agent model for AI planning of web service composition

Journal of Network and Computer Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Integrated with ontology and agent technology a new process modeling method and description language for web service composition is presented in this paper. The research is carried out based on our previous work, including extended semantics based on OWL-S and BDI agent. With task solving theory and task decomposing process, complicated tasks can be decomposed into easier sub tasks step by step automatically. Then Agent-based hierarchical task modeling language is proposed. At last, a tourist case is analyzed and verified for our method.