Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Semantic E-Workflow Composition
Journal of Intelligent Information Systems
On automating Web services discovery
The VLDB Journal — The International Journal on Very Large Data Bases
COMPSAC '06 Proceedings of the 30th Annual International Computer Software and Applications Conference - Volume 02
Discovering Web Services Based on Functional Semantics
APSCC '06 Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing
How to Consider Requester's Preferences to Enhance Web Service Discovery?
ICIW '07 Proceedings of the Second International Conference on Internet and Web Applications and Services
Ontology-Based Service Representation and Selection
IEEE Transactions on Knowledge and Data Engineering
A Dynamic Agent-Based Web Service Invocation Infrastructure
ACHI '08 Proceedings of the First International Conference on Advances in Computer-Human Interaction
Consumer-Centric Web Services Discovery and Subscription
ICEBE '07 Proceedings of the IEEE International Conference on e-Business Engineering
Applied Ontology
Bring QoS to P2P-based semantic service discovery for the Universal Network
Personal and Ubiquitous Computing
Exploiting User Feedback to Improve Semantic Web Service Discovery
ISWC '09 Proceedings of the 8th International Semantic Web Conference
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With the increasing number of web services in the web, discovering web services is becoming the most urgent problem to be resolved. In this paper we present a framework for Web services discovery and selection based on intelligent software agents, OWL-S and domain ontologies. With semantics provided by OWL-S and domain concepts, match and discovery engine can return the most relevant services. After a functional match is done, candidate services are ranked using their QoS information and reputation scores according to consumer's preferences. Our framework aims to discover web services in much higher successability while keeping the lower response time by exploiting the parallelism and the distribution given by agent technology.