The increased popularity of web services is accompanied with an increase in both provider and service number. This fairly large service number causes a deficiency in the selection of the most pertinent service, and makes it an effortful and time-consuming task. We propose the WSPAB (Web Service Personal Address Book) tool that aims at defining a complete solution for facilitating the task of finding the most pertinent web service. This includes two sub tasks, discovering and selecting. In this paper, we present the first part of the tool concerning the automation of the selection process, taking into consideration the quality of service (QoS) and user preferences. The WSPAB accomplishes the automatic selection of a service by filtering web services according to certain aspects of QoS and certain user requirements; then classifying these services using the formal concept analysis (FCA) approach, enabling users to easily select their needed service, identify its potential substitutes and keep trace of them either for future use, or to be shared with others.
Abstract-In SOA, composite applications can be developed on the basis of collections of interacting web services. A service's functionality is exposed to the external world by an abstract interface, described by the standard WSDL language, which must be published by service providers to public registries where service consumers can find them. Nowadays, web service discovery has become a real problem, because of the lack of public registries to publish and organize the fairly huge number of existing services. In this paper, we propose an approach based on formal concept analysis (FCA) for classifying and browsing web services. Using this approach, the web services are organized into a lattice structure, to facilitate their browse and selection. A service lattice reveals the invisible relations between the services, enabling the discovery of a needed service as well as the identification of its possible alternatives. Thus, service discovery may be achieved more easily using the service lattice. This facilitates the construction of service compositions and supports them with backup services to ensure a continuous functionality.
Abstract-Building a composite application based on Web services has become a real challenge regarding the large and diverse service space nowadays. Especially when considering the various functional and non-functional capabilities that Web services may afford and users may require.In this paper, we propose an approach for facilitating Web service selection according to user requirements. These requirements specify the needed functionality and expected QoS, as well as the composability between each pair of services. The originality of our approach is embodied in the use of Relational Concept Analysis (RCA), an extension of Formal Concept Analysis (FCA). Using RCA, we classify services by their calculated QoS levels and composability modes. We use a real case study of 901 services to show how to accomplish an efficient selection of services satisfying a specified set of functional and non-functional requirements.
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