DocumentCode
2184475
Title
Adapting agent communication languages for semantic Web service inter-communication
Author
Willmott, Steven ; Pena, Félix Oscar Fernández ; Merida-Campos, Carlos ; Constantinescu, Ion ; Dale, Jonathan ; Cabanillas, David
Author_Institution
Univ. Politecnica de Catalunya, Barcelona, Spain
fYear
2005
fDate
19-22 Sept. 2005
Firstpage
405
Lastpage
408
Abstract
The integration of semantic Web and Web services technologies promises to be one of the most promising new areas for development of intelligent Web applications. One challenging area where these technologies meet is in explicit definitions of meaning for the messages exchanged between Web services - in other words, semantic definitions of the meanings of data / commands exchanged in the execution of a Web services based application. While current approaches such as OWL-S tackle these elements in service groundings by mapping processes to function calls with specific arguments, agent communication languages could provide a potentially richer alternative. The work presented here shows how this could be done by mapping the existing agent communication language (FIPA-ACL, FIPA-SL and associated standards developed by the foundation for intelligent physical agents) into OWL based representations which may then be readily used in a Web services environment.
Keywords
knowledge representation languages; multi-agent systems; semantic Web; FIPA-ACL; FIPA-SL; OWL based representation; OWL-S; Web services based application; agent communication language; intelligent Web application; intelligent physical agent; mapping process; semantic Web service intercommunication; semantic definition; Encoding; Grounding; Intelligent agent; Natural languages; OWL; Resource description framework; Semantic Web; Simple object access protocol; Web services; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence, 2005. Proceedings. The 2005 IEEE/WIC/ACM International Conference on
Print_ISBN
0-7695-2415-X
Type
conf
DOI
10.1109/WI.2005.20
Filename
1517880
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