Quantitative Agent Service Matching
The ultimate goal of service matching is to find the service
provider(s) that would perform tasks of given description
with the best overall degree of satisfaction. However,
service description matching solves only part of the
problem. Agents that match a given request may vary greatly
in their actual capabilities to perform the tasks, and an
agent may have strong and weak areas. In this work, we take
a quantitative approach in which performance rating is
considered an integral part of an agent's capability model
and service distribution is taken into account in
determining the degree of match. With the dynamic refinement
of the agent capability model, the broker captures an
agent's performance levels as well as its strong and weak
areas. An experimental system has been designed and
implemented within the OWL/OWL-S framework and the results
statistics show significant advantage over other major
levels of brokers.
Date: September 20, 2004
Book Title: Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Type: InProceedings
Pages: 334-340
Bibtex
@InProceedings{Quantitative_Agent_Service_Matching,
author = "Xiaocheng Luan and Yun Peng and Tim Finin",
title = "{Quantitative Agent Service Matching}",
month = "September",
year = "2004",
pages = "334-340",
booktitle = "Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence",
}