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results
  • ctorg - Vocabulary for the structure of the public organizations
    http://purl.org/ctic/infraestructuras/organizacion
    The goal of this vocabulary is to create a scheme to define the contents of information related to the government structure and public centers. @en
  • ds - Dataset Catalog Vocabulary
    http://purl.org/ctic/dcat#
    This vocabulary is used for modelling catalogs of datasets and its relationships with the datasets @en
  • emp - A vocabulary for jobs
    http://purl.org/ctic/empleo/oferta
    This is a vocabulary for modeling jobs offer in Spain. @en
  • elec - Vocabulary for Vote Results
    http://purl.org/ctic/sector-publico/elecciones
    The objective of this vocabulary is to describe the vote process and results. @en
  • cwmo - Creative Workshop Management Ontology (CWMO)
    http://purl.org/cwmo/#
    Creative Workshop Management Ontology (CWMO) - an ontology designed to describe the creative workshop domain, to permit reasoning on creative method and to describe resources gathered inside Creative Support System. The primary goal of the ontology is to cover all knowledge about creative workshop and creative method necessary for Creative support system. The second goal is to provide interoperability between distributed Creative Support System. @en
  • dcam - DCMI Abstract Model
    http://purl.org/dc/dcam/
    An abstract model for Dublin Core metadata @en
  • dctype - DCMI Type Vocabulary
    http://purl.org/dc/dcmitype/
    The DCMI Type Vocabulary provides a general, cross-domain list of approved terms that may be used as values for the Resource Type element to identify the genre of a resource. @en
  • dce - Dublin Core Metadata Element Set
    http://purl.org/dc/elements/1.1/
    The Dublin Core Metadata Element Set is a vocabulary of fifteen properties for use in resource description. The name "Dublin" is due to its origin at a 1995 invitational workshop in Dublin, Ohio; "core" because its elements are broad and generic, usable for describing a wide range of resources. @en
  • dcterms - DCMI Metadata Terms
    http://purl.org/dc/terms/
    an up-to-date specification of all metadata terms maintained by the Dublin Core Metadata Initiative, including properties, vocabulary encoding schemes, syntax encoding schemes, and classes. @en
  • cdtype - The Collection Description Type Namespace
    http://purl.org/cld/cdtype/
    Types defined by the Dublin Core Collections Application Profile @en
  • cld - The Collection Description Terms
    http://purl.org/cld/terms/
    An expression in RDF of the application profile for collection-level description developed by the Dublin Core Collection Description Task Group. @en
  • coll - Collections Ontology
    http://purl.org/co
    The Collections Ontology (CO) defines unordered collections (Set and Bag) and ordered collections (or List). This ontology has been inspired by the work "Putting OWL in Order: Patterns for Sequences in OWL" by Drummond et al. (OWL-ED 2006). @en
  • cold - 'Configuration as Linked Data' ontology
    http://purl.org/configurationontology
    Ontology for the description of customizable products. It models the configuration process as the traversal of a graph of partially defined products, or "Configurations" @en
  • dpn - Data Provider Node ontology
    http://purl.org/dpn
    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
  • dqm - The Data Quality Management Vocabulary
    http://purl.org/dqm-vocabulary/v1/dqm
    The Data Quality Management Vocabulary - An Ontology for Data Requirements Management, Data Quality Monitoring, Data Quality Assessment, and Data Cleansing @en