Efficient web services selection based on QoS through a distributed parallel semantic approach

This paper proposes a solution to performance issues in the selection of Web services based on Quality of Service (QoS) that uses inference mechanisms from Semantic Web resources. Although several researchers highlight the benefits provided by the use of the Semantic Web techniques for searching and compose Web services with QoS, it can become costly when it depends on the approach adopted. Thus, we present a web service selection that uses QoS information in a replicated and distributed ontologies over different service providers. The results point to a significant improvement in the ontology inference process and thus makes the use of semantic resources viable in distributed systems to provide better QoS.