ANN: NLP Interchange Format (NIF) 1.0 Spec, Demo and Reference Implementation

Dear all,
we discussed the URI schemes on this list and I wanted to give some 
short feedback, how it turned out.
In a nutshell, I benchmarked if the URLs are stable between Wikipedia 
revisions and it turned out that the context-hash based approach had 
quite high probability (80-90 %) to stay stable between the revisions. 
Details can be found in the technical report.
All the best,
Sebastian

***ANNOUNCEMENT***
The Natural Language Processing Interchange Format (NIF) is an 
RDF/OWL-based format that aims to achieve interoperability between 
Natural Language Processing (NLP) tools, language resources and 
annotations. The core of NIF consists of a vocabulary, which can 
represent Strings as RDF resources. A special URI Design is used to 
pinpoint annotations to a part of a document. These URIs can then be 
used to attach arbitrary annotations to the respective character 
sequence. Employing these URIs, annotations can be published on the Web 
as Linked Data and interchanged between different NLP tools and 
applications.

In order to simplify the combination of tools, improve their 
interoperability and facilitating the use of Linked Data we developed 
the NLP Interchange Format (NIF). NIF addresses the interoperability 
problem on three layers: the structural, conceptual and access layer. 
NIF is based on a Linked Data enabled URI scheme for identifying 
elements in (hyper-) texts (structural layer) and a comprehensive 
ontology for describing common NLP terms and concepts (conceptual 
layer). NIF-aware applications will produce output (and possibly also