• Facets (new session)
• Description
• Metadata
• Settings
  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpccisofacetshttp://demo.openlinksw.com/dataspacehttp://www.w3.org/2002/07/owl#ldpoplwebrel-me-authskos-transsql-vdb-data-lakeurn:ALKAdatareducedurn:analytics:acqof:ruleurn:clothing:rule:qaurn:det:rdf:labelurn:inference:oplfaq:ruleurn:inference:product:feature:inverse:ruleurn:ingleng:inf:demo:inf:ruleurn:kbpedia:actor:subclass:test:rulesurn:kbpedia:comedian:owl:equivalent:class:subproperty:inference:rulesurn:kbpedia:mime-artist:owl:equivalent:class:subproperty:inference:rulesurn:kbpedia:owl:equivalent:class:subproperty:inference:rulesurn:kbpedia:philosopher:owl:equivalent:class:subproperty:inference:rulesurn:kbpedia:stage-actor:owl:equivalent:class:subproperty:inference:rulesurn:kgdemo:1:ifp:ruleurn:kgdemo:1:ifp:rule2urn:lava:demo:ruleurn:owl:equivalent:class:inference:rulesurn:rdfs:subclass:subproperty:inference:rulesurn:rdfs:type:wikidata:ruleurn:recon:data:ifpurn:recon:data:ifp:ruleurn:recruitment:rule:built-in:ruleurn:rsm12e:translation:ruleurn:rxnorm:data:ruleurn:se:demo:inference:ruleurn:test:skos:inverse:ruleurn:wireless:plans:features:builtin:inference:rule:1virtrdf-eturtle-containersvirtrdf-hashtagvirtrdf-ifpvirtrdf-labelvirtrdf-meta-entity-classvirtrdf-urlNone
    
  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

A technique or technology used in a [[Dataset]] (or [[DataDownload]], [[DataCatalog]]), corresponding to the method used for measuring the corresponding variable(s) (described using [[variableMeasured]]). This is oriented towards scientific and scholarly dataset publication but may have broader applicability; it is not intended as a full representation of measurement, but rather as a high level summary for dataset discovery. For example, if [[variableMeasured]] is: molecule concentration, [[measurementTechnique]] could be: "mass spectrometry" or "nmr spectroscopy" or "colorimetry" or "immunofluorescence". If the [[variableMeasured]] is "depression rating", the [[measurementTechnique]] could be "Zung Scale" or "HAM-D" or "Beck Depression Inventory". If there are several [[variableMeasured]] properties recorded for some given data object, use a [[PropertyValue]] for each [[variableMeasured]] and attach the corresponding [[measurementTechnique]].