691
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
  • 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
  • locah - The LOCAH RDF Vocabulary
    http://data.archiveshub.ac.uk/def/
    This vocabulary derived from the Encoded Archival Description standard has been developed in 2010-2011 by the LOCAH project. @en
  • ebg - euBusinessGraph ontology
    http://data.businessgraph.io/ontology#
    The euBusinessGraph (`ebg:`) ontology represents companies, type/status/economic classification, addresses, identifiers, company officers (e.g., directors and CEOs), and dataset offerings. It uses `schema:domainIncludes/rangeIncludes` (which are polymorphic) to describe which properties are applicable to a class, rather than `rdfs:domain/range` (which are monomorphic) to prescribe what classes must be applied to each node using a property. We find that this enables more flexible reuse and combination of different ontologies. We reuse the following ontologies and nomenclatures, and extend them where appropriate with classes and properties: - W3C Org, W3C RegOrg (basic company data), - W3C Time (officer membership), - W3C Locn (addresses), - schema.org (domain/rangeIncludes and various properties) - DBpedia ontology (jurisdiction) - NGEO and Spatial (NUTS administrative divisions) - ADMS (identifiers), - FOAF, SIOC (blog posts), - RAMON, SKOS (NACE economic classifications and various nomenclatures), - VOID (dataset descriptions). This is only a reference. See more detail in the [EBG Semantic Model](https://docs.google.com/document/d/1dhMOTlIOC6dOK_jksJRX0CB-GIRoiYY6fWtCnZArUhU/edit) google document, which includes an informative description of classes and properties, gives examples and data provider rules, and provides more schema and instance diagrams. @en
  • pico - Cochrane PICO Ontology
    http://data.cochrane.org/ontologies/pico/
    The PICO ontology provides a machine accessible version of the PICO framework. It essentially provides a model for describing evidence in a consistent way. The model allows the specifying of complex populations, detailed interventions and their comparisons as well as the outcomes considered. The PICO ontology was originally designed to model the questions asked and answered in Cochrane's systematic reviews. As a leader in the field of evidence based healthcare Cochrane uses the PICO model when framing and publishing evidence based questions. The PICO model is widely adopted for describing healthcare evidence, furthermore is equally applicable in other evidence-based domains. It essentially provides a model for describing evidence in a consistent way. @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
  • 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
  • ext - OWL representation of ISO 19115 (Geographic Information - Metadata - Extent package)
    http://def.seegrid.csiro.au/isotc211/iso19115/2003/extent
    An OWL representation of parts of the Geographic Metadata model described in ISO 19115:2003 with Corrigendum 2006 - EX Package @en
  • ep - EPrints Ontology
    http://eprints.org/ontology/
    Describes the main classes and properties which EPrints adds to voID, DC, BIBO and SKOS etc @en
  • hr - hRESTS Ontology
    http://iserve.kmi.open.ac.uk/ns/hrests
    hRESTS is a vocabulary for describing RESTful Web services @en
  • ends - Vocabulary of endpoint status (availability, responseTime)
    http://labs.mondeca.com/vocab/endpointStatus
    Endpoint Status vocabulary intends to describe endpoint availability @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
  • cpmeta - Ontology of Integrated Carbon Observation System (ICOS)
    http://meta.icos-cp.eu/ontologies/cpmeta/
    OWL vocabulary describing metadata of two environmental research infrastructures: ICOS and SITES @en
  • moat - Meaning of a Tag Ontology
    http://moat-project.org/ns#
    An ontology that let users define relationships between Tag objects and URIs of Semantic Web resources @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