DocumentCode :
2872823
Title :
Semantic Web Services Monitoring: An OWL-S Based Approach
Author :
Vaculín, Roman ; Sycara, Katia
Author_Institution :
Carnegie Mellon Univ., Pittsburgh
fYear :
2008
fDate :
7-10 Jan. 2008
Firstpage :
313
Lastpage :
313
Abstract :
In this paper we describe mechanisms for execution monitoring of semantic Web services, based on OWL-S. The use of semantic descriptions and ontologies is a valuable extension to current SOA conceptualizations. The described mechanisms are implemented as extensions of the OWL-S virtual machine that we have previously developed. The OWL-S virtual machine is a component that controls the interactions between a client and the Web service it uses. The presented extensions are a result of practical requirements that arose in the course of involvement with two projects that utilize OWL-S based semantic Web services. In particular, we present an event-based model for monitoring and logging interactions. The interaction trace allows a human or software agent to analyze, replay or debug the execution. Additionally, we describe proposed extensions to current specification in OWL-S for reporting and handling of errors. Finally, we describe extensions to the OWL-S virtual machine based on introspection to enable dynamic interactions with process mediators.
Keywords :
Web services; client-server systems; knowledge representation languages; ontologies (artificial intelligence); semantic Web; software agents; virtual machines; OWL-S virtual machine; client-server interaction; event-based model; process mediator; semantic Web services monitoring; semantic descriptions; semantic ontology; software agent; Humans; Information analysis; Monitoring; Ontologies; Quality of service; Robots; Semantic Web; Software agents; Virtual machining; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hawaii International Conference on System Sciences, Proceedings of the 41st Annual
Conference_Location :
Waikoloa, HI
ISSN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2008.385
Filename :
4439018
Link To Document :
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