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results
  • pimsii - Physicalistic Interpretation of Modelling and Simulation - Interoperability Infrastructure (PIMS-II)
    http://www.molmod.info/semantics/pims-ii.ttl
    The Physicalistic Interpretation of Modelling and Simulation - Interoperability Infrastructure (PIMS-II) is a mid-level ontology with a focus on documenting cognitive processes and epistemic metadata @en
  • oecc - Extended Creative Commons Ontology
    http://www.oegov.org/core/owl/cc
    Creative Commons Ontology, extending RDF file at http://creativecommons.org/schema.rdf @en
  • cpa - Content Pattern Annotations
    http://www.ontologydesignpatterns.org/schemas/cpannotationschema.owl
    A set of annotation properties to be used for ontology design patterns @en
  • hdo - HelpDesk support Ontology
    http://www.samos.gr/ontologies/helpdeskOnto.owl
    Simple ontology developed for integration purposes. Describe helpdesk entities used to record support tickets for diagnosis and resolve purpuses. The ontology re-uses a) W3C ORG and REGORG ontologies, b) DUL upper ontology, and c) GoodRelations ontology. @en
  • opmw - The OPMW Ontology
    http://www.opmw.org/ontology/
    OPMW is a OPMV profile to model the executions and definitions of scientific workflows. @en
  • msr - Measurement Ontology
    http://www.telegraphis.net/ontology/measurement/measurement#
    The Measurement Ontology is an ontology in which measurements may be rendered @en
  • vs - SemWeb Vocab Status ontology
    http://www.w3.org/2003/06/sw-vocab-status/ns
    An RDF vocabulary for relating SW vocabulary terms to their status. @en
  • gso - Generic Specific Ontology
    http://www.w3.org/2006/gen/ont
    Ontology for Relating Generic and Specific Information Resources @en
  • rec54 - Model of the W3C Process
    http://www.w3.org/2001/02pd/rec54#
    This is (the start of) an event-based model of the W3C process; e.g. RECdd is the class of Recommendation Director's Decisions; i.e. messages to w3c-ac-members announcing a new W3C Recommendation. @en
  • adms - Asset Description Metadata Schema
    http://www.w3.org/ns/adms
    ADMS is a profile of DCAT, used to describe semantic assets (or just 'Assets'), defined as highly reusable metadata (e.g. xml schemata, generic data models) and reference data (e.g. code lists, taxonomies, dictionaries, vocabularies) that are used for eGovernment system development. @en
  • common - The Delivery Context Ontology
    http://www.w3.org/2007/uwa/context/deliverycontext.owl
    The Delivery Context Ontology models the knowledge of the environment in which devices interact with the Web or other services @en
  • prof - Profiles Vocabulary
    http://www.w3.org/ns/dx/prof
    This vocabulary is for describing relationships between standards/specifications, profiles of them and supporting artifacts such as validating resources. This model starts with [http://dublincore.org/2012/06/14/dcterms#Standard](dct:Standard) entities which can either be Base Specifications (a standard not profiling any other Standard) or Profiles (Standards which do profile others). Base Specifications or Profiles can have Resource Descriptors associated with them that defines implementing rules for the it. Resource Descriptors must indicate the role they play (to guide, to validate etc.) and the formalism they adhere to (dct:format) to allow for content negotiation. A vocabulary of Resource Roles are provided alongside this vocabulary but that list is extensible. @en
  • lexdcp - Lexicon Model for Ontologies - Decomp
    http://www.w3.org/ns/lemon/decomp
    A model for the representation of lexical information relative to ontologies. Decomposition module. @en
  • lime - Lexicon Model for Ontologies - LIngusitic MEtadata (LIME)
    http://www.w3.org/ns/lemon/lime
    LIME (LInguistic MEtadata) is a vocabulary for expressing linguistic metadata about linguistic resources and linguistically grounded datasets. @en
  • mls - Machine Learning Schema
    http://www.w3.org/ns/mls
    ML-Schema is a collaborative, community effort with a mission to develop, maintain, and promote standard schemas for data mining and machine learning algorithms, datasets, and experiments @en