  We present NaturalOWL, a natural language generation system that produces
texts describing individuals or classes of OWL ontologies. Unlike simpler OWL
verbalizers, which typically express a single axiom at a time in controlled,
often not entirely fluent natural language primarily for the benefit of domain
experts, we aim to generate fluent and coherent multi-sentence texts for
end-users. With a system like NaturalOWL, one can publish information in OWL on
the Web, along with automatically produced corresponding texts in multiple
languages, making the information accessible not only to computer programs and
domain experts, but also end-users. We discuss the processing stages of
NaturalOWL, the optional domain-dependent linguistic resources that the system
can use at each stage, and why they are useful. We also present trials showing
that when the domain-dependent llinguistic resources are available, NaturalOWL
produces significantly better texts compared to a simpler verbalizer, and that
the resources can be created with relatively light effort.
