Information Systems - Special issue: selected papers from the 9th International Conference on advanced information systems engineering (CA ISE '97)
Larks: Dynamic Matchmaking Among Heterogeneous Software Agents in Cyberspace
Autonomous Agents and Multi-Agent Systems
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
WSOL - Web Service Offerings Language
CAiSE '02/ WES '02 Revised Papers from the International Workshop on Web Services, E-Business, and the Semantic Web
An approach to Web Service compatibility in cooperative processes
SAINT-W '03 Proceedings of the 2003 Symposium on Applications and the Internet Workshops (SAINT'03 Workshops)
A model for web services discovery with QoS
ACM SIGecom Exchanges
From the Editor in Chief: Semantic Services
IEEE Internet Computing
Introduction: Service-oriented computing
Communications of the ACM - Service-oriented computing
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
A quality model for multichannel adaptive information
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Constructing customized process views
Data & Knowledge Engineering
Flexible Semantic-Based Service Matchmaking and Discovery
World Wide Web
An autonomic approach to offer services in OSGi-based home gateways
Computer Communications
Measuring the performance of the Electronic Service Acceptance Model (E-SAM)
International Journal of Business Information Systems
A framework for QoS-based Web service contracting
ACM Transactions on the Web (TWEB)
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Service discovery is a critical aspect in the Service Oriented Computing approach. A model, a methodology and a tool environment based on ontologies are proposed in this paper. The requester and provider perspectives are discussed, both to support the service publication phase and the search phase. The proposed service ontology is based on functional aspects and it is organized on three layers, to support traditional search based on classification such as proposed in UDDI as well as search based on abstracting service characteristics. In addition, nonfunctional features such as requester and provider contexts and quality of service are considered to refine the search results according to the requester requirements.