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  • The ECLAP vocabulary provide classes and properties for the description of multimedia content related with performing arts. @en
  • The Vagueness Ontology (VO) allows one to specify vagueness characterisations of the TBox entities of an ontology. @en
  • Marl is a standardised data schema designed to annotate and describe subjective opinions expressed on the web or in particular Information Systems. @en
  • Onyx is a vovabulary designed designed to annotate and describe the emotions expressed by user-generated content on the web or in particular Information Systems. @en
  • This ontology is a specialization of the lifecycle vocabulary (http://purl.org/vocab/lifecycle/schema) meant to be used in the context of IoT. It is used as a module in the IoT core domain ontology IoT-O (www.irit.fr/recherches/MELODI/ontologies/IoT-O). IoT-Lifecycle adds a specific state definition (ParametrizedState) and a specific transition (Update) that is useful to model actuators. @en
  • Simple ontology for Cloud Computing Services. This ontology allows to define model of prices used in large cloud computing providers such as Google, Amazon, Azure, etc., including options for regions, type of instances, prices specification, etc. @en
  • The DINGO ontology (Data Integration for Grant Ontology) defines the terms of the DINGO vocabulary and provides a machine readable extensible framework to model data relative to projects, funding, project and funding actors, and, notably, funding policies. It is designed to yield high modeling power and elasticity to cope with the huge variety in funding and project practices, which makes it applicable to many areas where funding is an important aspect: first of all research, but also the arts, cultural conservation, and many others. @en
  • 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
  • The DNS Security Ontology (DSecO) project is a data model for representing and reasoning on Domain Name System (DNS) data. The ontology is developed using web technologies (e.g. RDF, OWL, SKOS) and is intended as a structure for realizing a DNS Knowledge Graph (KG) for administration and security assessment applications. The model has been developed in collaboration with operational teams, and in connection with third parties linked vocabularies. Alignment with third parties vocabularies is implemented on a per class or per property basis when relevant (e.g. with `rdfs:subClassOf`, `owl:equivalentClass`). Directions for direct instanciation of these vocabularies are provided for cases where implementing a class/property alignment is redundant. Alignment holds for the following vocabulary releases: - [ORG](https://www.w3.org/TR/vocab-org/) 0.8 - [UCO](https://github.com/ucoProject/uco) Release-0.8.0 @en
  • 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
  • Simple ontology developed for integration purposes. Describe helpdesk entities used to record support tickets for diagnosis and resolve purpuses. The ontology re-uses a) W3C ORG and REGORG ontologies, b) DUL upper ontology, and c) GoodRelations ontology. @en
  • IoT-O is a core domain Internet of Things ontology. It is intended to model horizontal knowledge about IoT systems and applications, and to be extended with vertical, application specific knowledge. It is constituted of different modules : - A sensing module, based on W3C's SSN (http://purl.oclc.org/NET/ssnx/ssn) - An acting module, based on SAN (http://www.irit.fr/recherches/MELODI/ontologies/SAN) - A service module, based on MSM (http://iserve.kmi.open.ac.uk/ns/msm/msm-2014-09-03.rdf) and hRest (http://www.wsmo.org/ns/hrests) - A lifecycle module, based on a lifecycle vocabulary (http://vocab.org/lifecycle/schema-20080603.rdf) and an iot-specific extension (http://www.irit.fr/recherches/MELODI/ontologies/IoT-Lifecycle) - An energy module, based on powerOnt (ttp://elite.polito.it/ontologies/poweront.owl) IoT-O developping team also contributes to the oneM2M IoT interoperability standard. @en
  • OntoMedia (Ontology for Media) has been designed to describe the interactions occurring in multimedia. @en
  • A vocabulary to describe the interactions between persons and groups occurring in multimedia. @en
  • OntoMedia (Ontology for Media) has been designed to describe the traits of entities. @en