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results
  • ccsla - Service Level Agreement for Cloud Computing
    http://cookingbigdata.com/linkeddata/ccsla
    Service Level Agreement for Cloud Computing Services. This ontology allows to define model of SLA/SLO used in large cloud computing providers such as Amazon, Azure, etc., including terms, claims, credit, compensations, 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
  • va - The Visual Analytics Vocabulary
    http://code-research.eu/ontology/visual-analytics
    This vocabulary allows the semantic description of visual analytics applications. It is based on the RDF Data Cube Vocabulary and the Semanticscience Integrated Ontology. @en
  • poste - "La Poste" Ontology
    http://data.lirmm.fr/ontologies/poste
    This vocabulary describes the contact points of the postal agencies network in France. @en
  • esco - The ESCO ontology
    http://data.europa.eu/esco/model
    The ontology of the taxonomy "European Skills, Competences, qualifications and Occupations". The ontology considers three ESCO pillars (or taxonomy) and 2 registers. The three pillars are: - Occupation - Skill (and competences) - Qualification For the construction and use of the ESCO pillars, the following modelling artefacts are used: - Facetting support to specialize ESCO pillar concepts based on bussiness relevant Concept Groups (e.g. species, languages, ...) - Conept Groups, Thesaurus array and Compound terms (as detailed in ISO 25964) to organize faceted concepts - SKOS mapping properties to relate ESCO pillar concepts to concepts in other (external) taxonomies (e.g. FoET, ISCO88 and ISCO08. More mappings can be added in the future.) - Tagging ESCO pillar concepts by other (external) taxonomies (NUTS, EQF, NACE, ...) - Capture gender specifics on the labels of the ESCO pillar concepts - Rich ESCO concept relationships holding a description and other specific characteristics of the relation between two ESCO pillar concepts. ESCO maintains two additional registers: - Awarding Body - Work Context Awarding Bodies typically are referenced by ESCO qualifications. Occupations can have one or more work context. @en
  • osp - French Public Services Ontology
    http://data.lirmm.fr/ontologies/osp
    Ontology for public services and organizations @en
  • ispra - Ispra Ontology
    http://dati.isprambiente.it/ontology/core#
    ISPRA ontology aims at the description of the processes and activities of the Institute in the areas circumscribed by the first published datasets. @en
  • basic - OWL representation of ISO 19103 (Basic types package)
    http://def.seegrid.csiro.au/isotc211/iso19103/2005/basic
    An OWL representation of (some of) the basic types described in ISO 19103:2005, required as primitives in other ontologies based on ISO 19100 series standards @en
  • gov - Ontology for modelling historic administrative information.
    http://gov.genealogy.net/ontology.owl
    The Genealogisches Orts-Verzeichnis (GOV) contains information about current and historical political, ecclesiastical and legal administrative affiliations of settlements and administrative units. In addition several time-dependent values (such as names, population numbers, postal codes etc.) are given. @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
  • dogont - Ontology Modeling for Intelligent Domotic Environments
    http://elite.polito.it/ontologies/dogont.owl
    The DogOnt ontology supports device/network independent description of houses, including both controllable and architectural elements. @en
  • op - Observable properties
    http://environment.data.gov.au/def/op
    A general purpose ontology for observable properties. The ontology supports description of both qualitative and quantitative properties. The allowed scale or units of measure may be specified. A property may be linked to substances-or-taxa and to features or realms, if they play a role in the definition. @en
  • veo - Vehicle Emissions Ontology
    http://linkeddata.finki.ukim.mk/lod/ontology/veo#
    An ontology for describing vehicles and their emissions. @en
  • 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
  • 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