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query languages), but they are not well adapted to extract information about
communities because they do not use social network analysis methods; nor do
most of them offer techniques to extract information about path and neighborhood.
We have also presented a social network extraction method from relational data-
base, which is based on (1) a transformation of the relational database into a
hypernode database and (2) a social network extraction from the hypernode data-
base. In our future work, we will focus on how to improve the extraction method by
using ontologies describing the relations between entities in the relational database.
Then, we will try to define a storage system based on the hypernode model and a
graph query language better adapted to the social network structure. We will also
work on generic transformation rules from different users' perspectives, and the
merging of graphs.
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