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DAML-S: Semantic Markup for Web Services
The overall structure of the ontology, the service profile for advertising services, and the process model for the detailed description of the operation of services are described, which compare DAML-S with several industry efforts to define standards for characterizing services on the Web.
Semantic Matching of Web Services Capabilities
This paper claims that location of web services should be based on the semantic match between a declarative description of the service being sought, and a description ofthe service being offered, and that this match is outside the representation capabilities of registries such as UDDI and languages such as WSDL.
Bringing Semantics to Web Services: The OWL-S Approach
This paper shows how to use OWL-S in conjunction with Web service standards, and explains and illustrates the value added by the semantics expressed in OWl-S.
DAML-S: Web Service Description for the Semantic Web
DAML-S is presented, a DAML+OIL ontology for describing the properties and capabilities of Web Services, and three aspects of the ontology are described: the service profile, the process model, and the service grounding.
A Roadmap of Agent Research and Development
This paper provides an overview of research and development activities in the field of autonomous agents and multi-agent systems. It aims to identify key concepts and applications, and to indicate…
Bringing Semantics to Web Services with OWL-S
OWL-S can be used to automate a variety of service-related activities involving service discovery, interoperation, and composition, and has led to the creation of many open-source tools for developing, reasoning about, and dynamically utilizing Web Services.
Automated semantic web service discovery with OWLS-MX
Experimental results of measuring performance and scalability of different variants of OWLS-MX show that under certain constraints logic based only approaches to OWL-S service I/O matching can be significantly outperformed by hybrid ones.
Reaching Agreements Through Argumentation: A Logical Model and Implementation
Automated discovery, interaction and composition of Semantic Web services
Bayesian learning in negotiation
This paper presents both theoretical analysis and initial experimental results showing that learning is beneficial in the sequential negotiation model, called Bazaar, which provides an adaptive, multi-issue negotiation model capable of exhibiting a rich set of negotiation behaviors.