Linked Open Vocabularies

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

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

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

nrv- Normative Requirements Vocabulary

http://ns.inria.fr/nrv

An OWL vocabulary for describing normative requirements. @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

basic- OWL representation of ISO 19103 (Basic types package)

http://def.seegrid.csiro.au/isotc211/iso19103/2005/basic

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

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

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

op- Observable properties

http://environment.data.gov.au/def/op

A general purpose ontology for observable properties. The ontology supports description of both qualitative and quantitative properties. The allowed scale or units of measure may be specified. A property may be linked to substances-or-taxa and to features or realms, if they play a role in the definition. @en

ldvm- Vocabulary for Linked Data Visualization Model

http://linked.opendata.cz/ontology/ldvm/

Vocabulary for Linked Data Visualization Model (LDVM) serves for description and configuration of components and pipelines according to LDVM @en

trao- Transport Administration Ontology

http://linkeddata.finki.ukim.mk/lod/ontology/tao#

Transport Administration Ontology (TAO) for describing data from Swedish Transport Administration Web site. @en

lsc- Linked Science Core Vocabulary

http://linkedscience.org/lsc/ns#

LSC, the Linked Science Core Vocabulary, is a lightweight vocabulary providing terms to enable publishers and researchers to relate things in science to time, space, and themes. @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