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Some of these methods use also semantic approaches, however an improvement in terms of precision has been obtained with the adoption of a semantic-based approach, together with the use of contextual information. This research aims at facing the problem of discovering context-aware services by proposing a semantic similarity model for enabling the matching between advertisements and requests personalized according to the context information (such as user position, user preferences, available resources). 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