Semantic enrichment and inference of relationships in an online social network

摘要: The relationships among users in an online social network helps to build a graph that represents the structure. In turn, semantic enrichment of connections between provides higher level meaning these relationships, which is advantage when modeling internal behavior network. Several researches argue use ontologies networks, makes inference information on relationship not inconsistent. However, several authors do consider various types implicitly present networking. So, order overcome problems posed, this article we propose tool aims generate representation taking into account and new users. prototype assessment made reveals satisfactory results with respect accuracy associated recommendation system, way, it possible get closer reality existing