Social Objects Description and Recommendation in Multidimensional Social Networks: OCSO Ontology and Semantic Spreading Activation

Two strong tendencies in social networks today are their growing multidimensionality and the key role of social objects around which they crystallize. Growing heterogeneity and amount of social objects start to be an issue for some popular social platforms. Users need more efficient ways to access and navigate information. To achieve this challenge we define OCSO as semantic web schema to describe finely these social objects and their afferent social activity. Then we defend the use of spreading activation algorithms to simulate user interest and perform complex recommendation in multidimensional social networks. A possible approach to what we call semantic spreading activation is introduced in order to exploit, among others, the OCSO model.