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  • \section{Applications}
    
    With endpoints in place, we can now query the ULO/RDF
    data set. Depending on the kind of application, different interfaces
    and approaches to querying the database might make sense.
    
    For integrating the ULO/RDF data set into an existing application, it
    probably is reasonable to directly query the data set using RDF4J.
    That is, of course, assuming the existing co debase is based on the
    {JVM}.  If that is not the case, generating SPARQL queries is the
    obvious choice.
    
    The advantage of this approach is that connecting and interacting
    with the database is straightforward. The disadvantage is that this
    approach requires a deep understanding of structure of the underlying
    ULO triplets.
    
    \subsection{A Language for Organizational Data}
    
    ULO/RDF is a subset of RDF. While it can be queried as just standard
    RDF data, maybe it is helpful to design a query language only for
    ULO/RDF triplets. Expressions in this particular query language could
    then be converted to SPARQL or RDF4J expressions. Ideally this means
    that (1)~the query language is intuitive and easy to use for this
    specific use case and (2)~execution is still fast as the underlying
    SPARQL database is already very optimized.