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  • scovo - The Statistical Core Vocabulary
    http://vocab.deri.ie/scovo
    A vocabulary for representing statistical data on the Web. Note :The SCOVO vocabulary is deprecated. We strongly advise to use the Data Cube Vocabulary instead. @en
  • incident - Vocabulary to describe incident response by emergency services
    http://vocab.resc.info/incident
    Vocabulary to describe the response to a incident by emergency services. This is NOT intended to describe the incident itself, it describes the response @en
  • vrank - Vocabulary for Ranking
    http://vocab.sti2.at/vrank
    The Vocabulary for Ranking (vRank) is an RDF Schema vocabulary for materializing ranking computations. @en
  • dady - Dataset Dynamics (dady) vocabulary
    http://vocab.deri.ie/dady
    A vocabulary that allows for coarse-grained descriptions of the data-source dynamics as well as the discovery of change notification mechanism(s). @en
  • dt - Data Template (DT) Ontology
    http://w3id.org/dt
    The Data Template (DT) Ontology is based on concepts and principles for creating templates from ISO 23387 and the associated XML data schema, which is currently under development. @en
  • medred - MedRed ontology: clinical data acquisition model
    http://w3id.org/medred/medred#
    This ontology aims to model generic Medical Data Acquisition Instruments, which can be interoperable across different clinical data management systems. The ontology is developed in the context of the MedRed project (https://www.hevs.ch/en/rad-institutes/institute-of-information-systems/projects/medical-research-data-acquisition-platform-14092) @en
  • rml-lv - RML Logical Views
    http://w3id.org/rml/lv/
    RML Logical Views flatten nested data, allow flexible joining of data sources, and handle mix source formats. @en
  • rml-star - RML-star
    http://w3id.org/rml/star/
    RML module for generating RDF-star graphs @en
  • ioc - IOC: Internet of Construction Ontology
    http://w3id.org/ioc
    The Internet of Construction Ontology (IoC) construction process ontology is intended to represent a comprehensive solution of how processes in the construction industry can be modelled. Due to the iterative nature of creating an ontology, the construction process ontology presented here can at best be considered a working state at the time of publication. Our approach emphasizes the simplest and most comprehensive mapping possible, which is only extended based on insights from practical use when otherwise compelling limitations in usability and applicability arise. Thus, the extension and refinement of the developed construction process ontology strongly depends on the integration of further areas of the construction value chain and the connection of further domain ontologies. @en
  • rml-fnml - RML-FNML
    http://w3id.org/rml/fnml/
    RML-FNML provides data transformations for generating knowledge graphs from (semi-)structured data @en
  • rml-io - RML-IO: Source and Target
    http://w3id.org/rml/io/
    RML-IO enables the description of input data sources and target output data serialization @en
  • rml-cc - RML-Containers
    http://w3id.org/rml/cc/
    RML module to generate RDF collections and containers @en
  • rml - RML: Generic Mapping Language for RDF
    http://w3id.org/rml/core
    Generic Mapping Language for RDF (RDB/CSV/TSV/XML/JSON/... to RDF) - Vocabulary description @en
  • dk - The Data Knowledge Vocabulary
    http://www.data-knowledge.org/dk/
    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
  • demlab - Dem@Care Lab Ontology for Dementia Assessment
    http://www.demcare.eu/ontologies/demlab.owl
    The ontology has been developed in the framework of the Dem@Care project for representing the experimentation protocol towards diagnostic support and assessment of Dementia in a controlled environment. The aim of the protocol is to provide a brief overview of their health status of the participants during consultation (cognition, behaviours and function), and to correlate the system (sensor) data with the data collected using typical dementia care assessment tools. @en