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results
  • KEES (Knowledge Exchange Engine Schema ) ontology describes a knowledge base configuration in terms of ABox and TBox statements together with their accrual and reasoning policies. This vocabulary is designed to drive automatic data ingestion in a graph database according KEES and Linked (Open) Data principles. @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
  • An ontology to describe people and requests for timebanks. This includes the poeple's skills, limitations, and environment. @en
  • This ontology defines the most abstract concepts and properties that are needed to semantically manage resource within federated infrastructures @en
  • A micro-ontology that defines a set of typical document-related services such as provided by libraries, museums and archives. @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 aim of the Occupant Feedback Ontology is to semantically describe passive and active occupant feedback and to enable integration of this feedback with linked building data. @en
  • An ontology for describing programming language-specific runners, processors and pipelines in RDF-based data processing frameworks. @en
  • 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
  • IT Service Management Ontology (ITSMO) provides the vocabulary for annotating resources related to IT Service Management. ITSMO tries to be consistent with 2011 ITIL glossary. @en
  • The Core module represents general-purpose concepts orthogonal to the whole network, which are imported by all other ontology modules (e.g. part-whole relation, classification). @en
  • The ELSEWeb Modelling ontology provides simple classes for describing data models. This project provides foundational support for the ELSEWeb project(http://elseweb.cybershare.utep.edu/). website: http://elseweb.cybershare.utep.edu/ontologies email: nvillanuevarosales@utep.edu @en
  • An event-based RDF ontology for typical status in fulfillment of a service @en
  • Ontology for the orchestration of the aerOS continuum. @en
  • This ontology is being developed by CSIRO under the eReefs project for describing data provider nodes, web services available and datasets that are hosted by them. This ontology features a module for describing Datasets. It does not however describe geospatial, temporal, organisational or domain concepts as these are intended to be included from other ontologies via the imports statement. Other modules complementary to the DPN ontology are http://purl.org/dpn/dataset and http://purl.org/dpn/services. This version aligns DCAT and DC terms and imports DPN services. @en