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A vocabulary, or music ontology, to describe classical music and performances. Classes (categories) for musical works, events, instruments and performers, as well as related properties are defined. Make sure to distinguish musical works (e.g. Opera) from performance events (Opera_Event), or works (String_Quartette) from performer (StringQuartetEnsemble in this vocab), whose natural language terms are used interchangeblly. The present version experiments more precise model to describe a musical work, its representations (performances, scores, etc) and a musical event to present a representation (a concert). Includes 30 keys as individuals. @en
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The nanopub ontology @en
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TISC, the Open Time and Space Core Vocabulary, is a lightweight spatiotemporal vocabulary aiming to provide spatial and temporal terms such as "happensAt", "locatedAt", "rightOf" to enable practitioners to relate their data to time and space. @en
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A pattern to represent contexts or situations, and the things that are contextualized. @en
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A generic pattern usable for all situations that require a temporal indexing. @en
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A simple ontology for representing competitive sports events. @en
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The Data Knowledge Vocabulary allows for a comprehensive description of data assets and enterprise data management. It covers a business data dictionary, data quality management, data governance, the technical infrastructure and many other aspects of enterprise data management. The vocabulary represents a linked data implementation of the Data Knowledge Model which resulted from extensive applied research. @en
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Combined with the EBU Class Conceptual Data Model (CCDM) of simple business objects, EBUCore provides the appropriate framework for descriptive and technical metadata for use in Service Oriented Architectures and also in audiovisual ontologies for semantic web and linked data developments. @en
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The ECLAP vocabulary provide classes and properties for the description of multimedia content related with performing arts. @en
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The Open NEE Configuration Model defines a Linked Data-based model for describing a configuration supported by a Named Entity Extraction (NEE) service. It is based on the model proposed in "Configuring Named Entity Extraction through Real-Time Exploitation of Linked Data" (http://dl.acm.org/citation.cfm?doid=2611040.2611085) for configuring such services, and allows a NEE service to describe and publish as Linked Data its entity mining capabilities, but also to be dynamically configured. @en
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CiteDCAT-AP is an extension of the DCAT application profile for data portals in Europe (DCAT-AP) for describing resources documented by using the DataCite metadata schema - the de facto standard for data citation, and used across scientific disciplines. Its basic use case is to make research data searchable on general data portals, thereby bridging the gap between scientific and public sector information. For this purpose, CiteDCAT-AP provides an RDF vocabulary and the corresponding RDF syntax binding for the metadata elements defined in DataCite. @en
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This document is a vocabulary to describe compound measures, i.e. measures with several metric or item that are organized with serveral dimensions. The description of such a measure relies on a Tree-Structure of Requirement (TSoR): a set of requirements structured hierarchicaly with analysis element. A TSoR represents the main measure. Several information may be added to explicitely indicate how the overall score on the measure should be calculated based on the hierarchy, relative importance of the node of the hierarchy and an aggregation function. The measure can be described completely and unambiguously from the organisation to the requirements and the implementation. @en
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The scope of the DIO is the domain of design intent or design rationale that needs to be documented while undertaking the design of any artifact @en
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OPMW is a OPMV profile to model the executions and definitions of scientific workflows. @en
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Designed with the goals to describe and encode the core dramatic qualities and to serve as a knowledge base underlying a number of applications, Drammar is a comprehensive ontology of drama, realized through a collaboration of computer scientists and drama scholars. It makes the knowledge about drama available as a vocabulary for the linked interchange of drama encodings and readily usable by automatic reasoners. By avoinding references to style and artistic qualities Drammar aims at representing the elements shared by different, cross-media manifestations of drama, the so–called intangible elements of drama as an intangible cultural heritage form. @en