Examining Resource Sharing in Social Networks and Learning Management Systems

Adelina Aleksieva-Petrova, Plamen Tenev

Abstract: This research presents a platform which benefits from Social Network Sites (SNS) sites and Learning Management Systems (LMS). The platform offers resources semantically to its users based on their interests and relations. In order to provide these recommendations, the model provides elements for representing the content through the use of an ontological model. This model is further enhanced with semantic techniques for the characterization and relationships between user profiles, resources and social networks. In fact, with this model could be the basis of recommendation system based on social media data, and it could be exploited use by the recommendations on different products, which are stored in the Web and with similar characteristics between them.

Key words: clusterization, LMS, social networks, SNS, semantic data

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