Towards an Approach Based on Ontology for Semantic-Temporal Modeling of Social Network Data

摘要

Recently, social networks have attracted a particular interest in the web, particularly Facebook. Consequently, a large amount of social data is produced. For semantic modeling of such data, several social network ontologies are introduced. The most popular is FoaF (Friend of a Friend) ontology. In our research, we are interested in data generated from Facebook social network. Heretofore, the semantic-temporal modeling of Facebook data is not yet studied. Thus, we propose a semantic modeling approach of social data that allows extending the FoaF ontology with Facebook data and temporal information.