A semantic and QoS-aware broker for Web service discovery
Résumé
As the Web is increasingly used not only to nd answers
to speci c information needs but also to carry out various tasks by the
means of Web services, enhancing the capabilities of current Web search
engines with e ective and e cient techniques for Web service discov-
ery becomes an important issue. In this paper, we propose a semantic
and QoS-aware broker, namely SemQoS, that enables users to discover
Web services based on both functional and non-functional criteria. The
SemQoS broker relies on a semantic canonical description meta-model
that allows describing services in terms of functional and non-functional
properties. First, SemQoS discovery approach selects a set of services
matching a discovery query with di erent degrees of approximate match-
ing. The approach relies on deductive reasoning to relax the discovery
query's constraints based on semantic service descriptions and domain
knowledge. As second step, the SemQoS broker re nes the set of selected
services to generate a set of service clusters based on their QoS attributes
values. This step allows to prune the search space of a discovery query
and determine the best sub-set (cluster) of Web services satisfying user's
constraints. We evaluate our approach experimentally using a real Web
services dataset.