90
results
How to
  • 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
  • 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
  • pproc - PPROC ontology
    http://contsem.unizar.es/def/sector-publico/pproc
    The PPROC ontology defines the necessary concepts to describe public procurement process and the contracts of public sector (public e-procurement). The ontology has been designed with the main purpose of publishing data about public contracts. @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
  • 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
  • oan - Ontology of the French National Assembly
    http://data.lirmm.fr/ontologies/oan
    Description of French National Assembly @en
  • orges - Ontology about Spanish public organizations
    http://datos.gob.es/def/sector-publico/organizacion#
    Extension of the Org ontology to make it suitable for the Spanish common registry of public entities. @en
  • ocd - Ontology of Italian Deputy Chamber
    http://dati.camera.it/ocd/
    Ontology of the Chamber of Deputies of the Italian Parliament. @en
  • cis - Cultural-ON (Cultural ONtology): Cultural Institute/Site and Cultural Event Ontology
    http://dati.beniculturali.it/cultural-ON/cultural-ON.owl
    The ontology aims at modelling the data on cultural institutes or sites such as data regarding the agents that play a specific role on cultural institutes or sites, the sites themselves, the contact points, all multimedia files which describe the cultural institute or site and any other information useful to the public in order to access the institute or site. Moreover, the ontology represents events that can take place in specific cultural institutes or sites. @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
  • trao - Transport Administration Ontology
    http://linkeddata.finki.ukim.mk/lod/ontology/tao#
    Transport Administration Ontology (TAO) for describing data from Swedish Transport Administration Web site. @en
  • agr - Agreements ontology
    http://promsns.org/def/agr
    This Agreements Ontology is designed to model 'agreements' which are social contracts that include licenses, laws, contracts, Memoranda of Understanding, standards and definitional metadata. Its purpose is to support data sharing by making explicit the relationships between agreements and data and agreements and Agents (people and organisations). Eventually it will also help with the interplay between different classes of agreements. @en
  • ldr - Linked Data Rights (LDR)
    http://purl.oclc.org/NET/ldr/ns#
    The Linked Data Rights ontology provides the vocabulary for creating rights expressions for Linked Data resources. @en
  • ctorg - Vocabulary for the structure of the public organizations
    http://purl.org/ctic/infraestructuras/organizacion
    The goal of this vocabulary is to create a scheme to define the contents of information related to the government structure and public centers. @en
  • elec - Vocabulary for Vote Results
    http://purl.org/ctic/sector-publico/elecciones
    The objective of this vocabulary is to describe the vote process and results. @en