  NELL is a system that continuously reads the Web to extract knowledge in form
of entities and relations between them. It has been running since January 2010
and extracted over 50,000,000 candidate statements. NELL's generated data
comprises all the candidate statements together with detailed information about
how it was generated. This information includes how each component of the
system contributed to the extraction of the statement, as well as when that
happened and how confident the system is in the veracity of the statement.
However, the data is only available in an ad hoc CSV format that makes it
difficult to exploit out of the context of NELL. In order to make it more
usable for other communities, we adopt Linked Data principles to publish a more
standardized, self-describing dataset with rich provenance metadata.
