Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/10003513,
  title    = {Ontology-Based Approach for Temporal Semantic Modeling of Social Networks},
  author    = {Souâad Boudebza and  Omar Nouali and  Faiçal Azouaou},
  country   = {Algeria},
  institution={University of Mohamed Seddik Ben Yahia – Jijel},
  abstract  = {Social networks have recently gained a growing
interest on the web. Traditional formalisms for representing social
networks are static and suffer from the lack of semantics. In this
paper, we will show how semantic web technologies can be used to
model social data. The SemTemp ontology aligns and extends
existing ontologies such as FOAF, SIOC, SKOS and OWL-Time to
provide a temporal and semantically rich description of social data.
We also present a modeling scenario to illustrate how our ontology
can be used to model social networks.},
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {10},
  number    = {1},
  year      = {2016},
  pages     = {176 - 182},
  ee        = {http://waset.org/publications/10003513},
  url       = {http://waset.org/Publications?p=109},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 109, 2016},
}