100
results
How to
  • 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
  • daq - Dataset Quality Vocabulary
    http://purl.org/eis/vocab/daq#
    Quality metrics can be (in principle) calculated on various forms of data (such as datasets, graphs, set of triples etc...). This vocabulary allow the owner/user of such RDF data to calculate metrics on multiple (and different) resources. @en
  • muto - Modular Unified Tagging Ontology (MUTO)
    http://purl.org/muto/core
    The Modular and Unified Tagging Ontology (MUTO) is an ontology for tagging and folksonomies. It is based on a thorough review of earlier tagging ontologies and unifies core concepts in one consistent schema. It supports different forms of tagging, such as common, semantic, group, private, and automatic tagging, and is easily extensible. @en
  • uby - ubyCat.owl
    http://purl.org/olia/ubyCat.owl
    OLiA Annotation Model for Uby Parts of Speech (Gurevych et al, 2012) extracted from the Uby DTD (http://purl.org/olia/ubyCat.owl, version of Nov 21th, 2012). References Iryna Gurevych, Judith Eckle-Kohler, Silvana Hartmann, Michael Matuschek, Christian M. Meyer and Christian Wirth, 2012, Uby - A Large-Scale Unified Lexical-Semantic Resource, Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012), Avignon, France. The DTD is made available under a Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) license which is available at http://creativecommons.org/licenses/by-sa/3.0/ You are free to share (copy, distribute and transmit) the work, to develop your own extensions (adapt, remix) of the work, and to make commercial use of the work. @en
  • opmv - Open Provenance Model Vocabulary
    http://purl.org/net/opmv/ns#
    OPMV, the Open Provenance Model Vocabulary, provides terms to enable practitioners of data publishing to publish their data responsibly. @en
  • prv - Provenance Vocabulary Core Ontology
    http://purl.org/net/provenance/ns#
    The Provenance Vocabulary Core Ontology provides the main classes and properties required to describe provenance of data on the Web. @en
  • prvt - Provenance Vocabulary types
    http://purl.org/net/provenance/types#
    Extends the Provenance Vocabulary by defining subclasses of the types of provenance elements introduced in the core ontology. @en
  • sim - The Similarity Ontology
    http://purl.org/ontology/similarity/
    An ontology to describe associations between things. Although this ontology was designed with music similarity in mind, it can readily be applied to other domains. @en
  • olo - Ordered List Ontology
    http://purl.org/ontology/olo/core#
    The Ordered List Ontology Specification provides basic concepts and properties for describing ordered lists as semantic graphs. @en
  • ao - Association Ontology
    http://purl.org/ontology/ao/core#
    Provides basic concepts and properties for describing specific association statements to something, e.g. an occasion, a genre or a mood ... @en
  • pav - Provenance, Authoring and Versioning
    http://purl.org/pav/
    PAV is a lightweight ontology for tracking Provenance, Authoring and Versioning. PAV specializes the W3C provenance ontology PROV-O in order to describe authorship, curation and digital creation of online resources. @en
  • dr - Discourse relationships vocabulary
    http://purl.org/swan/2.0/discourse-relationships/
    Relationships without range and domains meant to be reused in different contexts @en
  • cs - Changeset
    http://purl.org/vocab/changeset/schema
    This vocabulary defines a set of terms for describing changes to resource descriptions. @en
  • scot - Social Semantic Cloud of Tags
    http://rdfs.org/scot/ns#
    SCOT is an ontology for describing the structure and the semantics for tagging data across heterogenous users, sources, and applications. @en
  • ruto - Test-Driven Data Debugging Ontology
    http://rdfunit.aksw.org/ns/core#
    The Databugger ontology describes concepts used in Databugger, a test driven data-debugging framework that can run automatically generated (based on a schema) and manually generated test cases against an endpoint. @en