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  • 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
  • daq - Dataset Quality Vocabulary
    http://purl.org/eis/vocab/daq#
    Quality metrics can be (in principle) calculated on various forms of data (such as datasets, graphs, set of triples etc...). This vocabulary allow the owner/user of such RDF data to calculate metrics on multiple (and different) resources. @en
  • fiesta-iot - FIESTA-IoT Ontology
    http://purl.org/iot/ontology/fiesta-iot
    The FIESTA-IoT ontology takes inspiration from the well-known Noy et al. methodology for reusing and interconnecting existing ontologies. To build the ontology, we leverage a number of core concepts from various mainstream ontologies and taxonomies, such as Semantic Sensor Network (SSN), M3-lite (a lite version of M3 ontology), WGS84, IoT-lite, Time, and DUL ontology. @en
  • fiesta-priv - FIESTA-Priv Ontology
    http://purl.org/iot/ontology/fiesta-priv#
    FIESTA-Priv Ontology @en
  • iottaxolite - The IoTTaxonomy-lite Taxonomy
    http://purl.org/iot/vocab/iot-taxonomy-lite#
    The IoT-Taxonomy-lite is adapted from M3-lite taxonomy. This taxonomy is refactored and defines many other concepts such as subclasses of Feature-of-Interest and Quality-of-Observation. @en
  • m3lite - The Machine-to-Machine Measurement (M3) Lite Ontology
    http://purl.org/iot/vocab/m3-lite#
    M3 lite taxonomy is designed for the FIESTA-IOT H2020 EU project. We refactor, clean and simplify the M3 ontology designed by Eurecom (Amelie Gyrard). M3 ontology lite is currently aligned with the quantity taxonomy used by several testbeds: SmartSantander (Spain), University of Surrey (United Kingdom), KETI (Korea) and Com4Innov (France). @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
  • 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
  • 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
  • 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
  • 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
  • cs - Changeset
    http://purl.org/vocab/changeset/schema
    This vocabulary defines a set of terms for describing changes to resource descriptions. @en
  • ruto - Test-Driven Data Debugging Ontology
    http://rdfunit.aksw.org/ns/core#
    The Databugger ontology describes concepts used in Databugger, a test driven data-debugging framework that can run automatically generated (based on a schema) and manually generated test cases against an endpoint. @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
  • mv - MobiVoc: Open Mobility Vocabulary
    http://schema.mobivoc.org/
    Our goal is to significantly improve the data mobility between all stakeholders by providing a standardized vocabulary using Semantic Web technologies and ontologies. For the open vocabulary covering various mobility aspects we use RDF (Resource Description Framework) - a recommended specification of the World Wide Web Consortium (W3C) and the so-called lingua franca for the integration of data and web. We invite everyone who is interested to join our MobiVoc initiative and to participate in the development of the Open Mobility Vocabulary. @en