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  • wf-invoc - Workflow Invocation Ontology
    http://purl.org/net/wf-invocation
    Wf-invoc is a simple profile of the P-plan ontology to describe how workflow steps are invoked within a workflow execution. @en
  • wfm - The Workflow Motif Ontology
    http://purl.org/net/wf-motifs
    Ontology for describing Workflow Motifs. Workflow Motifs outline the kinds of data-intensive activities that are observed in workflows (data-operation motifs) and the different manners in which activities are implemented within workflows (workflow-oriented motifs). @en
  • wo - Weighting Ontology
    http://purl.org/ontology/wo/core#
    The Weighting Ontology specification provides a vocabulary for describing weightings and their referenced scales, on/ for the Semantic Web. @en
  • dtx_srti - LOD SRTI DATEX II
    http://cef.uv.es/lodroadtran18/def/transporte/dtx_srti
    An RDF/OWL vocabulary to represent SRTI DATEX II profile (according the Commission Delegated Regulation (EU) No 886/2013) within the European LOD-RoadTran18 action "Supporting the cross-border use of Road Traffic Data with Linked Open Data based on DATEX II (LOD-RoadTran18)" (Agreement No: INEA/CEF/ICT/A2018/1803421, Action No: 2018-EU-IA-0088). The vocabulary is used for mapping between DATEX II and LOD formats. @en
  • era - ERA vocabulary
    http://data.europa.eu/949/
    This is the human and machine readable Vocabulary/Ontology governed by the European Union Agency for Railways. It represents the concepts and relationships linked to the sectorial legal framework and the use cases under the Agency´s remit. Currently, this vocabulary covers the European railway infrastructure and the vehicles authorized to operate over it. It is a semantic/browsable representation of the RINF and ERATV application guides that were built by domain experts in the RINF and ERATV working parties. Since version 2.6.0, the ontology includes the routebook concepts described in appendix D2 \"Elements the infrastructure manager has to provide to the railway undertaking for the Route Book\" (https://eur-lex.europa.eu/eli/reg_impl/2019/773/oj) and the appendix D3 \"ERTMS trackside engineering information relevant to operation that the infrastructure manager shall provide to the railway undertaking\". @en
  • graphql - GraphQL Vocabulary
    http://datashapes.org/graphql
    A vocabulary to annotate RDF schemas (in particular SHACL shapes) with metadata to define mappings to GraphQL. @en
  • obws - Object with states ontology
    http://delicias.dia.fi.upm.es/ontologies/ObjectWithStates.owl
    Ontology including the content ontology design pattern for modelling objects with states. @en
  • h2o - Ontology for conversion of ISO/TC 211
    http://def.seegrid.csiro.au/isotc211/iso19150/-2/2012/basic
    This ontology establishes classes corresponding to stereotypes used in ISO-conformant models, as used in the rules for conversion of the ISO TC 211 Harmonized Model from the UML to OWL representations @en
  • sam - The Sampling Features Schema Vocabulary
    http://def.seegrid.csiro.au/isotc211/iso19156/2011/sampling
    An OWL representation of the Sampling Features Schema described in clauses 8-10 of ISO 19156:2011 Geographic Information - Observations and Measurements. @en
  • mexcore - MEX Core Vocabulary
    http://mex.aksw.org/mex-core
    MEX is an RDF vocabulary designed to facilitate interoperability between published machine learning experiments results on the Web. The mex-core layer represents the core information gathered from a basic machine learning experiment design. @en
  • mexalgo - MEX Algorithm Ontology
    http://mex.aksw.org/mex-algo
    MEX is an RDF vocabulary designed to facilitate interoperability between published machine learning experiments results on the Web. The mex-algo layer represents the algorithm information existing into a basic machine learning experiment. @en
  • mexperf - MEX Performance Ontology
    http://mex.aksw.org/mex-perf
    MEX is an RDF vocabulary designed to facilitate interoperability between published machine learning experiments results on the Web. The mex-perf layer is the 3rd level of the MEX for representing the machine learning algorithm's performances. @en
  • dbowl - Relational to Ontology Mapping Primitive
    http://ontology.cybershare.utep.edu/dbowl
    Primitive ontology for database to Semantic Web mapping which subsumes classes that represent mappings to explicit OWL constructs, such as OWL class, object property, data property, etc. Classes in this ontology are populated by individuals representing components of the database schema being mapped. @en
  • dbug - DOAP Bugs
    http://ontologi.es/doap-bugs#
    An extension of DOAP for the description of bugs @en
  • deps - DOAP Dependencies
    http://ontologi.es/doap-deps#
    An extension to DOAP for describing a project's requirements @en