The Ontology for Media Resources describes a core vocabulary of properties and a set of mappings between different metadata formats of media resources hat describe media resources published on the Web (as opposed to local archives, museums, or other non-web related and non-shared collections of media resources). The purpose of these mappings is to provide metadata representations that describe the characteristics and behavior of media resources in an interoperable manner, thereby enabling different applications to share and reuse these metadata.
A vocabulary for describing (library) holdings. The Holding Ontology deals with items and their relations to agents and documents. An item is a copy or exemplar of a document. Items are also referred to as holdings, but a holding is moreover the description of an agents inventory and access information for the item. Items may further be connected to services, locations, and chronologies.
The DNB RDF Vocabulary is a collection of classes, properties and datatypes used within the DNB's linked data service. It complements the GND Ontology which is specifically geared towards authority data from the Integrated Authority File (GND), whereas this vocabulary is more general-purpose.
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).