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.
CITATION STYLE
Chiha, R., & Ayed, M. B. (2017). Towards an approach based on ontology for semantic-temporal modeling of social network data. In Advances in Intelligent Systems and Computing (Vol. 557, pp. 708–717). Springer Verlag. https://doi.org/10.1007/978-3-319-53480-0_70
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