  With the ever-growing generation of data for the Semantic Web comes an
increasing demand for this data to be made available to non-semantic Web
experts. One way of achieving this goal is to translate the languages of the
Semantic Web into natural language. We present LD2NL, a framework for
verbalizing the three key languages of the Semantic Web, i.e., RDF, OWL, and
SPARQL. Our framework is based on a bottom-up approach to verbalization. We
evaluated LD2NL in an open survey with 86 persons. Our results suggest that our
framework can generate verbalizations that are close to natural languages and
that can be easily understood by non-experts. Therewith, it enables non-domain
experts to interpret Semantic Web data with more than 91\% of the accuracy of
domain experts.
