  Search engines allow providing the user with data information according to
their interests and specialty. Thus, it is necessary to exploit descriptions of
the resources, which take into consideration viewpoints. Generally, the
resource descriptions are available in RDF (e.g., DBPedia of Wikipedia
content). However, these descriptions do not take into consideration
viewpoints. In this paper, we propose a new approach, which allows converting a
classic RDF resource description to a resource description that takes into
consideration viewpoints. To detect viewpoints in the document, a machine
learning technique will be exploited on an instanced ontology. This latter
allows representing the viewpoint in a given domain. An experimental study
shows that the conversion of the classic RDF resource description to a resource
description that takes into consideration viewpoints, allows giving very
relevant responses to the user's requests.
