Semantic Discovery and Selection: A QoS-Aware, Hybrid Model

Most Semantic Web Services discovery approaches are based on Description Logics, allowing a limited expressiveness when describing Quality-of-Service preferences. Furthermore, DLs is not suited to perform selection tasks, because these are modeled as optimization problems. In this paper, the authors present a hybrid discovery and selection model for Semantic Web Services that takes care of QOS preferences. Their approach splits the whole process into two stages, using the most suited engine in each one, depending on its search nature. In order to perform QOS- aware discovery and selection, user preferences have to be semantically described as the rest of the service description.