From the Web services point of view, the selection criteria should at least include
the service??™s functional and nonfunctional requirements. To fully integrate service
discovery, these domain-specific criteria should be clear and processed automatically.
This requires domain-specific knowledge.
In this light, Semantic Web technology is a promising innovation for service discovery.
It requires that data are not only human readable, but also machine understandable.
Semantic Web concepts can help provide a unifying system that minimizes misunderstandings
among different partners. OWL-S aims to enable automated Web
service discovery, invocation, composition, and monitoring. To cover the second
phase, OWL-S has defined quality rating ontologies to describe the service??™s QoS
information. However, as mentioned before, one current limitation of OWL-S??™ QoS
model is that it does not provide a detailed set of classes and properties to represent
QoS metrics. This motivates us to design the QoS ontology to compensate for
this shortcoming of OWL-S in the second phase. In addition to defining the QoS
ontology??™s use in the second phase of service discovery process, we further define
its ability to measure QoS.
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