A Conceptual Architecture for Semantic Mash Up Recommender Framework

In this paper we propose a conceptual semantic based tourism platform that enables users to consume mash up applications by using a multi agent system. We explore different mechanisms for discovery, publishing, composition and querying of services. In particular, we present a methodology for collecting, organizing and searching data distributed in different resources-RDF data sets- and - Application Programming Interface (API) -. As a part of our model, we propose a semantic architecture that defines three main components: i) A mechanism for automatic data collection. ii) A mechanism for automatic service composition. ii) A semantic recommendation module based on user context and social profile.