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  • ccr - Vocabulary for Regions and Zones on Cloud Computing
    http://cookingbigdata.com/linkeddata/ccregions
    Ontology for the definition of regions and zones of availability on CloudComputing platforms and services. This ontology allows to define model of regions used in large cloud computing providers such as Amazon, Azure, etc. @en
  • cci - Ontology for Cloud Computing instances
    http://cookingbigdata.com/linkeddata/ccinstances
    Ontology for Cloud Computing Instances. Instance are classes of VM that comprise varying combinations of CPU, memory, storage, and networking capacity. This ontology allows to define the instantiation model of MVs used in large cloud computing providers such as Amazon, Azure, etc. @en
  • ccp - Vocabulary for prices options in Cloud Computing Services
    http://cookingbigdata.com/linkeddata/ccpricing
    Simple and direct pricing ontology for Cloud Computing Services. This ontology allows to define model of prices used in large cloud computing providers such as Amazon, Azure, etc., including options for regions, type of instances, prices specification, etc. @en
  • shoah - Shoah Vocabulary Specification
    http://dati.cdec.it/lod/shoah/
    The ontology describing the Shoah domain, proposed here in beta version, aims to formally describe concepts and relationships that characterize the process of persecution and deportation of Jews in Italy between 1943 and 1945. @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
  • veo - Vehicle Emissions Ontology
    http://linkeddata.finki.ukim.mk/lod/ontology/veo#
    An ontology for describing vehicles and their emissions. @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
  • 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
  • emotion - Emotion Ontology for Context Awareness
    http://ns.inria.fr/emoca
    EmOCA is used to contextualize dimensionnal emotion and to categorize it for human readability. @en
  • nrv - Normative Requirements Vocabulary
    http://ns.inria.fr/nrv
    An OWL vocabulary for describing normative requirements. @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
  • 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