An ontology-based approach for ranking suggested semantic web services

With the growing number of web services on the web that offer similar functions, it is required to use mechanisms for ranking and selecting them based on non-functional properties (i.e. QoS). Different QoS models and language may use different concepts, metrics, units, values for representing QoS information. It is difficult for an automatic semantic web service discovery system to be able to understand such QoS information collected from some semantic web services in order to decide about the best semantic web service in terms of their quality. In this paper, an ontology-based approach for ranking semantic web services has been proposed. A generic and domain-specific ontology is used to infer the semantic similarity between the parameters of the request and the advertisement, which will be applied in the process of SWSs ranking. This ontology is referred to as Extended OWL-Q (EOWL-Q). Furthermore some OWL-Q disadvantages and the way of resolving them in EOWL-Q were studied to achieve a same understanding of QoS properties. Moreover, how semantic web service ranking can be used in the context of semantic web service discovery in new QoS-aware framework is explained.