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cl - Cinelab ontology http://advene.org/ns/cinelab/ld The Advene project aims at providing a model and various formats to share annotations about digital video documents (movies, courses, conferences...), as well as tools to edit and visualize the hypervideos generated from both the annotations and the audiovisual documents. Teachers, moviegoers, etc. can use them to exchange multimedia comments and analyses about video documents. The Cinelab model allows not only to represent video annotations, but also an elicitation of their structure (through notions of schema and annotation type), as well as their presentations with views (templates applied on data to produce hypervideos) and queries. This model has been developed by the partners of the Cinelab project (2007-2008, funded by the french national research agency), and used afterwards in a number of projects and applications, including Advene (LIRIS) and Ligne de temps (IRI). @en -
eac-cpf - EAC-CPF Descriptions Ontology for Linked Archival Data: http://archivi.ibc.regione.emilia-romagna.it/ontology/eac-cpf/ Derive from the EAC-CPF original XML schema. Encoded Archival Context for Corporate Bodies, Persons, and Families provides a grammar for encoding names of creators of archival materials and related information. @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 -
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 -
oc - OntoMedia Core http://contextus.net/ontology/ontomedia/core/expression# OntoMedia (Ontology for Media) has been designed to describe the interactions occurring in multimedia. @en -
oad - Ontology for archival description http://culturalis.org/oad# An ontology for the description of archival data (OAD, “Ontology of Archival Description”) using the Web Ontology Language (OWL). This ontology represents the classes and properties needed to expose the archival resources as linked data. @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 -
being - OntoMedia Being Representation http://contextus.net/ontology/ontomedia/ext/common/being# A vocabulary to describe the interactions between persons and groups occurring in multimedia. @en -
trait - OntoMedia Trait Representation http://contextus.net/ontology/ontomedia/ext/common/trait# OntoMedia (Ontology for Media) has been designed to describe the traits of entities. @en -
gndo - GND Ontology http://d-nb.info/standards/elementset/gnd# GND stands for "Gemeinsame Normdatei" (Integrated Authority File) and offers a broad range of elements to describe authorities. The GND originates from the German library community and aims to solve the name ambiguity problem in the library world. @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 -
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 -
pnc - Press.net Classification Ontology http://data.press.net/ontology/classification/ The Press.net Classification Ontology allows assets to be holistically classified using a controlled vocabulary or taxonomy. @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 -
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