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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
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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
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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
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An OWL vocabulary for describing normative requirements. @en
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An extension of DOAP for the description of bugs @en
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An extension to DOAP for describing a project's requirements @en
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A provisional small geometry vocabulary used by Ordnance Survey vocabularies and datasets. Likely to change when some standard way of representing geometries in RDF is agreed. @en
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An ontology describing basic spatial relations. @en
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ISPRA ontology aims at the description of the processes and activities of the Institute in the areas circumscribed by the first published datasets. @en
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An OWL representation of (some of) the basic types described in ISO 19103:2005, required as primitives in other ontologies based on ISO 19100 series standards @en
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An OWL representation of part of the model for geometry and space from ISO 19107:2003 Geographic Information - Spatial Schema @en
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An OWL representation of parts of the Geographic Metadata model described in ISO 19115:2003 with Corrigendum 2006 - EX Package @en
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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
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An OWL representation of the Sampling Features Schema described in clauses 8-10 of ISO 19156:2011 Geographic Information - Observations and Measurements. @en
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Ontology including the content ontology design pattern for modelling objects with states. @en