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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
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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
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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
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The ReSIST Courseware Ontology represents the various educational courses and resources within the ReSIST project @en
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OntoMedia (Ontology for Media) Date Component has been designed to describe the different ways of marking time in media. @en
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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
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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
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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
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Common Tags are references to unique, well-defined concepts, complete with metadata and their own URLs. @en
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OntoMedia (Ontology for Media) has been designed to describe the interactions occurring in multimedia. @en
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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
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A vocabulary to describe the interactions between persons and groups occurring in multimedia. @en
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The OntoMedia Space representation denotes areas of landscape. Expands on the AKT location ontology @en
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OntoMedia (Ontology for Media) has been designed to describe the traits of entities. @en
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A metadata vocabulary for describing comic books and comic book collections. @en