Personalization is not very common in Service-oriented Architecture and Service discovery in practice, yet very important as it enables to find more specific and relevant services. This is especially true in the case of complex service, where the system tries to find an optimal combinations of services that together can satisfy a (complex) request. We describe the relation between personalization and service discovery in general, and then concretize this in the proposed Service Discovery Framework (SDF). Personalization effectively improves the quality of the discovery algorithm in SDF. As an application, we show its benefits in the context of eHealth.
Personalization of services based on user preferences and user context facilitates service discovery. Several researches have been conducted on service personalization, however, little has been done to allow non-literate users to query services based on their educational level, their linguistic, cognitive, physiological and psychological abilities. In developing countries users have diversified culture, language and traditional values. As a result it is valuable to design the services on the basis of user literacy level, user preference and user context.
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