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Matches in LOV for { ?s ?p For a more concise description about NIF, we refer the reader to the ISWC 2013 in Use paper: Integrating NLP using Linked Data by Sebastian Hellmann, Jens Lehmann, Sören Auer, and Martin Brümmer available at: http://svn.aksw.org/papers/2013/ISWC_NIF/public.pdf Also the NLP2RDF project page (http://nlp2rdf.org) provides more general documentation and pointers.\n The NIF 2.0 Core Ontology (http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#) provides classes and properties to describe the relations between substrings, text, documents by assigning URIs to strings. These URIs can then be used as subjects in RDF triples and therefore they can be annotated easily. The NIF 2.0 Core Specification defines how such URIs are created and used: http://persistence.uni-leipzig.org/nlp2rdf/specification/core.html and it makes sense to read this document first, so you can understand the definitions in this ontology better. \n \n The main class in this ontology is nif:String, which is the class of all words over the alphabet of Unicode characters (sometimes called Σ∗). We built NIF upon the Unicode Normalization Form C, as this follows the recommendation of the RDF standard for rdf:Literal. Indices are to be counted in code units as is common in most programming language and SPARQL engines ( see 17.4.3.2 STRLEN and 17.4.3.3 SUBSTR on http://www.w3.org/TR/sparql11-query/). \n \n Each URI Scheme (nif:URIScheme) used to address strings is a subclass of nif:String and puts further restrictions over the syntax of the URIs. For example, instances of type nif:RFC5147String have to adhere to the Syntax and Semantics of RFC 5147 (http://tools.ietf.org/html/rfc5147). Users of NIF can create their own URI schemes by subclassing nif:String and providing documentation on the Web in the rdfs:comment field.\n \n Another important subclass of nif:String is the nif:Context OWL class. This class is assigned to the whole string of the text (i.e. all characters). The purpose of an individual of this class is special, because the string of this individual is used to calculate the indices for all substrings. Therefore, all substrings have to have a relation nif:referenceContext pointing to an instance of nif:Context. Furthermore, the datatype property nif:isString can be used to include the reference text as a literal within the RDF as is required for the web service scenario. An example of NIF Core can be seen on the top left of the example Figure. \n\t\n\tOntology models\n\tThis ontology is split in different complimentary parts:\n\t* a terminological model (containing rdfs:comment, rdfs:label, rdfs:subClassOf, rdfs:subPropertyOf, rdfs:range and rdfs:domain statements)\n\t* an inference model (containing owl:TransitiveProperty, owl:hasKey), see nif-core-inf.ttl\n\t* a validation model (containing owl:FunctionalProperty, owl:DisjointWith), see nif-core-val.ttl\n\t* a Stanford profile model (containing a more complex structure)\n\tAn overview is given at the bottom of: http://persistence.uni-leipzig.org/nlp2rdf/ \n\n\tFeedback\n\tIf you'd like to leave feedback, please open an issue on GitHub (https://github.com/NLP2RDF/ontologies/issues) and read the README (https://github.com/NLP2RDF/ontologies#readme) or write an email to the mailing list: http://lists.informatik.uni-leipzig.de/mailman/listinfo/nlp2rdf\n\n\tVersioning process is explained here: http://persistence.uni-leipzig.org/nlp2rdf/specification/version.html Changelog is written to rdfs:comment (resource level versioning).\n. }

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