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results
  • deps - DOAP Dependencies
    http://ontologi.es/doap-deps#
    An extension to DOAP for describing a project's requirements @en
  • semsur - The Semantic Survey Ontology (semsur)
    http://purl.org/SemSur/
    SemSur, the Semantic Survey Ontology, is a core ontology for describing individual research problems, approaches, implementations and evaluations in a structured, comparable way. @en
  • qu - Quantity Kinds and Units
    http://purl.oclc.org/NET/ssnx/qu/qu
    This ontology is partially based on the SysML QUDV (Quantities, Units, Dimensions and Values) proposed by a working group of the SysML 1.2 Revision Task Force (RTF), working in close coordination with the OMG MARTE specification group. In order to generalize its potential usage and alignment with other standardization efforts concerning quantities and units, the QU ontology has been further developed as a complement to the Agriculture Meteorology example showcasing the ontology developed by the W3C Semantic Sensor Networks incubator group (SSN-XG). @en
  • pat - Patch Request Ontology
    http://purl.org/hpi/patchr#
    The Patch Request Ontology provides a schema to describe desired changes in Linked Data. By wrapping the Graph Update Ontology (guo) patch requests can be formulated to add, modify or delete particular triples (or subgraphs) within a dataset. @en
  • dicom - Healthcare metadata - DICOM ontology
    http://purl.org/healthcarevocab/v1
    Ontology for healthcare metadata - especially metadata found in DICOM files (Digital Imaging and Communications in Medicine, see http://dicom.nema.org/). Author: Michael Brunnbauer, Bonubase GmbH (www.bonubase.com). The author's email address is brunni@netestate.de. See http://purl.org/healthcarevocab/v1help for explanations. @en
  • qb - The data cube vocabulary
    http://purl.org/linked-data/cube
    This vocabulary allows multi-dimensional data, such as statistics, to be published in RDF. @en
  • sdmx - SDMX-RDF vocabulary
    http://purl.org/linked-data/sdmx
    This vocabulary extends the data cube vocabulary to support publication of statistical data in RDF, using an information model based on SDMX @en
  • sdmx-code - SDMX Code
    http://purl.org/linked-data/sdmx/2009/code
    Defines subclasses and instances of codes used in SDMX, such as currencies, decimals, frequencies ... @en
  • limo - Linked Statistical Models Vocabulary
    http://purl.org/limo-ontology/limo/
    A Vocabulary for Incorporating Predictive Models into the Linked Data Web @en
  • sdmx-dimension - SDMX Dimension
    http://purl.org/linked-data/sdmx/2009/dimension
    Defines dimensions for the statistical "cubes" defined by SDMX @en
  • ipo - IPO - Issue Procedure Ontology
    http://purl.org/ipo/core
    Vocabulary for describing issues (or problems) and corresponding symptoms and solutions to a broad variety of contexts. It is intended to provide a generic, reusable core ontology that can be extended or specialized for use in domain-specific situations, aimed at supporting linked data publishing. The solutions are represented by procedures, which are possible workflows for solving corresponding issues. @en
  • api - Linked Data API Vocabulary
    http://purl.org/linked-data/api/vocab#
    Configuration vocabulary for the Linked Data API @en
  • co - Counter Ontology
    http://purl.org/ontology/co/core#
    The Counter Ontology specification provides basic concepts and properties for describing a general counter concept and some important sub counters @en
  • reco - RECommendations Ontology
    http://purl.org/reco#
    The RECO ontology defines the vocabulary for representing preferences-as-constraints and preferences-as-ratings as RDF graphs. This lightweight vocabulary provides domain-independent means to describe user profiles in a coherent and context-aware way. RECO has been designed as an extension of both Friend-Of-A-Friend (FOAF) and Who Am I! (WAI) ontologies. @en
  • uneskos - UNESKOS Vocabulary
    http://purl.org/umu/uneskos
    An RDF vocabulary for extending some SKOS and ISO-THES functions in order to improve the linked data consumption of SKOS datasets @en