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  • r4r - Relations for Reusing (R4R) Ontology
    http://guava.iis.sinica.edu.tw/r4r
    R4R is a light-weight ontology for representing general relationships of resource for publication and reusing. It asserts that a certain reusing context occurred and determined by its two basic relations, namely, isPackagedWith and isCitedBy. The isPackagedWith relation declares the resource is ready to be reused by incorporating License and Provenance information. The Cites relation is an exceptional to isCitedBy which occurs only two related objects cite each other at the same time. Five resource objects including article, data, code, provenance and license are major class concepts to represent in this ontology. The namespace for all R4R terms is http://guava.iis.sinica.edu.tw/r4r/ @en
  • mrel - MARC Code List for Relators
    http://id.loc.gov/vocabulary/relators
    MARC relators are defined as both RDF properties and SKOS concepts @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
  • psh - Probabilistic SHACL Validation
    http://ns.inria.fr/probabilistic-shacl/
    An OWL vocabulary to include and exploit probabilistic information in SHACL validation reports @en
  • nrv - Normative Requirements Vocabulary
    http://ns.inria.fr/nrv
    An OWL vocabulary for describing normative requirements. @en
  • opmo - Open Provenance Model
    http://openprovenance.org/model/opmo
    The Open Provenance Model is a model of provenance that is designed to meet the following requirements: (1) To allow provenance information to be exchanged between systems, by means of a compatibility layer based on a shared provenance model. (2) To allow developers to build and share tools that operate on such a provenance model. (3) To define provenance in a precise, technology-agnostic manner. (4) To support a digital representation of provenance for any 'thing', whether produced by computer systems or not. (5) To allow multiple levels of description to coexist. (6) To define a core set of rules that identify the valid inferences that can be made on provenance representation. @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
  • acrt - Agent Certification Ontology
    http://privatealpha.com/ontology/certification/1#
    This document specifies a vocabulary for asserting the existence of official endorsements or certifications of agents, such as people and organizations. @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
  • dqm - The Data Quality Management Vocabulary
    http://purl.org/dqm-vocabulary/v1/dqm
    The Data Quality Management Vocabulary - An Ontology for Data Requirements Management, Data Quality Monitoring, Data Quality Assessment, and Data Cleansing @en
  • opmv - Open Provenance Model Vocabulary
    http://purl.org/net/opmv/ns#
    OPMV, the Open Provenance Model Vocabulary, provides terms to enable practitioners of data publishing to publish their data responsibly. @en
  • label - label
    http://purl.org/net/vocab/2004/03/label
    Term definitions for singular and plural label properties @en
  • prvt - Provenance Vocabulary types
    http://purl.org/net/provenance/types#
    Extends the Provenance Vocabulary by defining subclasses of the types of provenance elements introduced in the core ontology. @en
  • prv - Provenance Vocabulary Core Ontology
    http://purl.org/net/provenance/ns#
    The Provenance Vocabulary Core Ontology provides the main classes and properties required to describe provenance of data on the Web. @en
  • pav - Provenance, Authoring and Versioning
    http://purl.org/pav/
    PAV is a lightweight ontology for tracking Provenance, Authoring and Versioning. PAV specializes the W3C provenance ontology PROV-O in order to describe authorship, curation and digital creation of online resources. @en