UMBC ebiquity
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Quantitative Agent Service Matching
September 20, 2004
The ultimate goal of service matching is to find the service provider(s) that can perform tasks of a given description with the best overall degree of satisfaction. However, service description matching solves only part of the problem. Agents that match a given service request description may vary greatly in the level and/or quality of services that they can perform, and an agent may have strong and weak areas in its advertised service space. In this work, we take a quantitative approach in which the broker agent (matchmaker) considers performance rating an integral part of an agent’s capability model, captures an agent’s strong and weak areas through the interaction with the agents, and refines the agent’s capability model with the information gathered. The broker agent also dynamically builds a service distribution model that can provide vital information for determining the degree of match in cases of non-exact matches. An experimental system has been designed and implemented using OWL-S as the upper service ontology, and the result statistics show a significant advantage over other major levels of brokers.
InProceedings
IEEE
DOI: 10.1109/WI.2004.10169
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