  Research in Computational Linguistics is dependent on text corpora for
training and testing new tools and methodologies. While there exists a plethora
of annotated linguistic information, these corpora are often not interoperable
without significant manual work. Moreover, these annotations might have evolved
into different versions, making it challenging for researchers to know the
data's provenance. This paper addresses this issue with a case study on event
annotated corpora and by creating a new, more interoperable representation of
this data in the form of nanopublications. We demonstrate how linguistic
annotations from separate corpora can be reliably linked from the start, and
thereby be accessed and queried as if they were a single dataset. We describe
how such nanopublications can be created and demonstrate how SPARQL queries can
be performed to extract interesting content from the new representations. The
queries show that information of multiple corpora can be retrieved more easily
and effectively because the information of different corpora is represented in
a uniform data format.
