175
results
How to
  • 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
  • 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
  • date - OntoMedia Date Part Representation
    http://contextus.net/ontology/ontomedia/misc/date#
    OntoMedia (Ontology for Media) Date Component has been designed to describe the different ways of marking time in media. @en
  • crsw - ReSIST Courseware Ontology
    http://courseware.rkbexplorer.com/ontologies/courseware
    The ReSIST Courseware Ontology represents the various educational courses and resources within the ReSIST project @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
  • eurio - EURIO: EUropean Research Information Ontology
    http://data.europa.eu/s66#
    The EUropean Research Information Ontology (EURIO) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. @en
  • pna - Press.net Asset Ontology
    http://data.press.net/ontology/asset/
    Press.net Asset Ontology describes news assets (text, images, video, data, etc), the relationships between them and how assets can be classified and semantically annotated. @en
  • pne - Press.net Event Ontology
    http://data.press.net/ontology/event/
    Press.net Event Ontology models news-worthy events and their relationship to news assets and stuff (simple entities) in the world. @en
  • pns - Press.net Stuff Ontology
    http://data.press.net/ontology/stuff/
    Press.net Stuff Ontology models real world entities. There are two kinds of stuff: tangibles and intangibles. Tangible stuff includes persons, locations and organizations. Intangibles are abstract concepts such as smoking, feminism or love. @en
  • swc - Semantic Web Conference Ontology
    http://data.semanticweb.org/ns/swc/ontology
    The Semantic Web Conference ontology (SWC) is an ontology for describing academic conferences @en
  • tm - A vocabulary for temporal objects in Geographic Information
    http://def.seegrid.csiro.au/isotc211/iso19108/2002/temporal
    An OWL representation of part of the model for Temporal objects and reference systems from ISO 19108:2002 Geographic Information - Temporal Schema @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
  • 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
  • eupont - EUPont: an ontology for End User Programming of the IoT
    http://elite.polito.it/ontologies/eupont.owl
    EUPont is an ontology to model high level rules for Internet of Things End User Programming (IoT-EUP). @en
  • kgc - KGRC Ontology
    http://kgc.knowledge-graph.jp/ontology/kgc.owl
    This vocabulary set can represent 5W1H (Who, What, When, Where, Why, How) in event (scene) descriptions. This file is also provided in Knowledge Graph Reasoning Challenge. @en