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  • mrel - MARC Code List for Relators
    http://id.loc.gov/vocabulary/relators
    MARC relators are defined as both RDF properties and SKOS concepts @en
  • lemon - LExicon Model for ONtologies
    http://lemon-model.net/lemon
    Lemon: The lexicon model for ontologies is designed to allow for descriptions of lexical information regarding ontological elements and other RDF resources. Lemon covers mapping of lexical decomposition, phrase structure, syntax, variation, morphology, and lexicon-ontology mapping. @en
  • lvont - Lexvo.org Ontology
    http://lexvo.org/ontology
    An ontology for natural language terms description, including scripts, languages and meanings. The Lexvo.org ontology is still under development and may not be able to address all needs. Please also consider using the Lingvoj Ontology and the GOLD ontology, whereever appropriate. @en
  • nif - NLP Interchange Format
    http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#
    The NLP Interchange Format (NIF) is an RDF/OWL-based format that aims to achieve interoperability between Natural Language Processing (NLP) tools, language resources and annotations. @en
  • dprov - Decision Provenance ontology (DecPROV)
    http://promsns.org/def/decprov
    This ontology is a reduced-in-scope version of the [W3C Decisions and Decision-Making Incubator Group](https://www.w3.org/2005/Incubator/decision/)'s Decision Ontology (DO) which can be found at <https://github.com/nicholascar/decision-o>. It has been re-worked to align entirely with the W3C's [PROV ontology](https://www.w3.org/TR/prov-o/) since it is widely recognised that analysing the elements of decisions *post hoc* is an exercise in provenance. Unlike the original DO, this ontology cannot be used for *normative* scenarios: it is only capable of recording decisions that have already been made (so-called *data-driven* use in the DO). This is because PROV, to which this ontology is completely mapped, does not have a templating system which can indicate what *should* occur in future scenarios. This ontology introduces only one new element for decision modelling over that which was present in the DO: an Agent which allows agency in decision making to be recorded. @en
  • gold - General Ontology for Linguistic Description
    http://purl.org/linguistics/gold
    The General Ontology for Linguistic Description (GOLD) was created primarily for applications involving descriptive linguistics. @en
  • iso-thes - ISO 25964 SKOS extension
    http://purl.org/iso25964/skos-thes
    This vocabulary aims at providing interoperability between SKOS and ISO 25964 ‐ 1:2011, the new standard for thesauri @en
  • qb - The data cube vocabulary
    http://purl.org/linked-data/cube
    This vocabulary allows multi-dimensional data, such as statistics, to be published in RDF. @en
  • label - label
    http://purl.org/net/vocab/2004/03/label
    Term definitions for singular and plural label properties @en
  • vsearch - vSearch Vocabulary
    http://purl.org/vsearch/
    The vSearch vocabulary facilitates the querying and retrieval of vocabulary terms from a vocabularies directory. It can be used to map keywords with mapped result terms accompanied with a ranking value. @en
  • xkos - XKOS
    http://rdf-vocabulary.ddialliance.org/xkos
    An extension of SKOS for representaion of nomenclatures @en
  • isoadr - ISO19160-1:2015 Address ontology
    http://reference.data.gov.au/def/ont/iso19160-1-address
    This ontology is a version of the ISO TC211, Group for Ontology Management (GOM)'s OWL ontology interpretation of the ISO19160-1:2015 "Addressing -- Part 1: Conceptual model" standard (see https://www.iso.org/standard/61710.html) taken from that ontology's source code, published at https://github.com/ISO-TC211/GOM/tree/master/isotc211_GOM_harmonizedOntology/19160-1/2015. @en
  • gvp - Getty Vocabulary Program ontology
    http://vocab.getty.edu/ontology
    The GVP Ontology defines classes, properties and values (skos:Concepts) used in GVP LOD. It is complete regarding AAT and TGN (as of version 2.0), and will be extended in time with more elements needed for the other GVP vocabularies (ULAN, CONA). @en
  • rml-fnml - RML-FNML
    http://w3id.org/rml/fnml/
    RML-FNML provides data transformations for generating knowledge graphs from (semi-)structured data @en
  • rml-io - RML-IO: Source and Target
    http://w3id.org/rml/io/
    RML-IO enables the description of input data sources and target output data serialization @en