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  • vdpp - Vocabulary for Dataset Publication Projects
    http://data.lirmm.fr/ontologies/vdpp
    The Vocabulary of Dataset Publication Projects (VDPP) allows to represent the status of a dataset publication project. It is mainly based on the Provenance Vocabulary (PRV), the Dataset Provenance Vocabulary (VOIDP), the Vocabulary of Interlinked Datasets (VoID), and the Description of a Project (DOAP) vocabulary. @en
  • dq - OWL representation of ISO 19115 (Geographic Information - Metadata - Data quality package)
    http://def.seegrid.csiro.au/isotc211/iso19115/2003/dataquality
    An OWL representation of parts of the Geographic Metadata model described in ISO 19115:2003 with Corrigendum 2006 - DQ Package @en
  • 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
  • kdo - The Knowledge Diversity Ontology
    http://kdo.render-project.eu/kdo#
    The Knowledge Diversity Ontology aims at providing a vocabulary that describes different dimensions of knowledge diversity of the Web. To support the representation of diversity information, the conceptual model of the Knowledge Diversity Ontology includes concepts and relations that were identified and modelled by focusing on real world scenarios in context of customer feedback, news, and Wikipedia opinion mining as well as content and sentiment analysis. @en
  • pmlp - PML2 provenance ontology
    http://inference-web.org/2.0/pml-provenance.owl
    The provenance part of PML2 ontology. It is a fundamental component of PML2 ontology. @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
  • psh - Probabilistic SHACL Validation
    http://ns.inria.fr/probabilistic-shacl/
    An OWL vocabulary to include and exploit probabilistic information in SHACL validation reports @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
  • dita - DITA RDF ontology
    http://purl.org/dita/ns#
    The DITA RDF ontology translates the semantics of a subset of the vocabulary described in the DITA 1.2 specification in a format that can be understood in the semantic Web of data. By Colin Maudry, licensed under the terms of the Unlicense (public domain). @en