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  • ldvm - Vocabulary for Linked Data Visualization Model
    http://linked.opendata.cz/ontology/ldvm/
    Vocabulary for Linked Data Visualization Model (LDVM) serves for description and configuration of components and pipelines according to LDVM @en
  • kees - KEES Ontology
    http://linkeddata.center/kees/v1
    KEES (Knowledge Exchange Engine Schema ) ontology describes a knowledge base configuration in terms of ABox and TBox statements together with their accrual and reasoning policies. This vocabulary is designed to drive automatic data ingestion in a graph database according KEES and Linked (Open) Data principles. @en
  • lsc - Linked Science Core Vocabulary
    http://linkedscience.org/lsc/ns#
    LSC, the Linked Science Core Vocabulary, is a lightweight vocabulary providing terms to enable publishers and researchers to relate things in science to time, space, and themes. @en
  • nen3610 - NEN 3610 - base model geo-information
    http://modellen.geostandaarden.nl/def/nen3610
    NEN 3610 - base model geo-information – terms, definitions, relationships and general rules for the exchange of information about earth related spatial objects @en
  • mexcore - MEX Core Vocabulary
    http://mex.aksw.org/mex-core
    MEX is an RDF vocabulary designed to facilitate interoperability between published machine learning experiments results on the Web. The mex-core layer represents the core information gathered from a basic machine learning experiment design. @en
  • mexalgo - MEX Algorithm Ontology
    http://mex.aksw.org/mex-algo
    MEX is an RDF vocabulary designed to facilitate interoperability between published machine learning experiments results on the Web. The mex-algo layer represents the algorithm information existing into a basic machine learning experiment. @en
  • mexperf - MEX Performance Ontology
    http://mex.aksw.org/mex-perf
    MEX is an RDF vocabulary designed to facilitate interoperability between published machine learning experiments results on the Web. The mex-perf layer is the 3rd level of the MEX for representing the machine learning algorithm's performances. @en
  • smg - CERISE CIM Profile for Smart Grids
    http://ns.cerise-project.nl/energy/def/cim-smartgrid
    A Profile of the IEC Common Information Model for Smart Grids, developed by the Cerise-SG project. @en
  • nrv - Normative Requirements Vocabulary
    http://ns.inria.fr/nrv
    An OWL vocabulary for describing normative requirements. @en
  • deps - DOAP Dependencies
    http://ontologi.es/doap-deps#
    An extension to DOAP for describing a project's requirements @en
  • dbug - DOAP Bugs
    http://ontologi.es/doap-bugs#
    An extension of DOAP for the description of bugs @en
  • dbowl - Relational to Ontology Mapping Primitive
    http://ontology.cybershare.utep.edu/dbowl
    Primitive ontology for database to Semantic Web mapping which subsumes classes that represent mappings to explicit OWL constructs, such as OWL class, object property, data property, etc. Classes in this ontology are populated by individuals representing components of the database schema being mapped. @en
  • omnfed - Open-Multinet Upper Federation Ontology
    http://open-multinet.info/ontology/omn-federation
    This ontology defines concepts related to federation of internet infrastructures. @en
  • aws - Ontology for Meteorological sensors
    http://purl.oclc.org/NET/ssnx/meteo/aws
    This ontology is part of the Agriculture Meteorology example showcasing the ontology developed by the W3C Semantic Sensor Networks incubator group (SSN-XG). It is published here in order to generalize the potential usage and the alignment with other standardization efforts of the SSN ontology. @en
  • qu - Quantity Kinds and Units
    http://purl.oclc.org/NET/ssnx/qu/qu
    This ontology is partially based on the SysML QUDV (Quantities, Units, Dimensions and Values) proposed by a working group of the SysML 1.2 Revision Task Force (RTF), working in close coordination with the OMG MARTE specification group. In order to generalize its potential usage and alignment with other standardization efforts concerning quantities and units, the QU ontology has been further developed as a complement to the Agriculture Meteorology example showcasing the ontology developed by the W3C Semantic Sensor Networks incubator group (SSN-XG). @en