Data Quality Assessment Reports
From SemWebQuality.org
(Difference between revisions)
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==Uniqueness in Depth== | ==Uniqueness in Depth== | ||
| + | {|class="wikitable" | ||
| + | |'''Scenario:'''||Calculate the completeness of a property based on the ratio of all instances of a class and instances that miss a specific property or property value. | ||
| + | |- | ||
| + | |'''Input:'''||All property completeness rules (in OWL DL Design) | ||
| + | |- | ||
| + | |'''Output:'''||Completeness Scores per Property Completeness Requirement | ||
| + | |} | ||
| + | <syntaxhighlight lang="sparql"> | ||
SELECT ?dqr ?tclassURI ?tpropURI ((COUNT(?i)/2) AS ?violations) (COUNT(?i3) AS ?total) | SELECT ?dqr ?tclassURI ?tpropURI ((COUNT(?i)/2) AS ?violations) (COUNT(?i3) AS ?total) | ||
(((?total - ?violations)/?total) AS ?uniquenessDepth) | (((?total - ?violations)/?total) AS ?uniquenessDepth) | ||
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BIND (IRI(str(?tclassreal)) AS ?tclassURI) . | BIND (IRI(str(?tclassreal)) AS ?tclassURI) . | ||
?i3 a ?tclassURI . | ?i3 a ?tclassURI . | ||
| − | + | } | |
}GROUP BY ?dqr ?tclassURI ?tpropURI | }GROUP BY ?dqr ?tclassURI ?tpropURI | ||
| − | + | </syntaxhighlight> | |
==Syntactic Accuracy== | ==Syntactic Accuracy== | ||
Revision as of 17:09, 17 October 2011
Data Quality Scores can be used to get a quick impression about the quality state of a data source. Below you can find queries that can calculate data quality scores based on previously defined data requirements.
Contents |
Completeness
| Scenario: | Calculate the completeness of a property based on the ratio of all instances of a class and instances that miss a specific property or property value. |
| Input: | All property completeness rules (in OWL DL Design) |
| Output: | Completeness Scores per Property Completeness Requirement |
SELECT ?dqr ?tclassURI ?tpropURI (COUNT(?s) AS ?violations) (COUNT(?s2) AS ?total) (((?total - ?violations)/?total) AS ?completeness) WHERE { { ?dqr a dqm:PropertyCompletenessRule . ?dqr dqm:testedClass ?tclass . ?dqr dqm:testedProperty1 ?tprop . ?dqr dqm:requiredValue "true"^^xsd:boolean . ?dqr dqm:requiredProperty "true"^^xsd:boolean . ?tclass dqm:hasURI ?tclassreal . ?tprop dqm:hasURI ?tpropreal . BIND (IRI(str(?tpropreal)) AS ?tpropURI) . BIND (IRI(str(?tclassreal)) AS ?tclassURI) . { ?s a ?tclassURI . NOT EXISTS{ ?s ?tpropURI ?value . } }UNION{ ?s a ?tclassURI . ?s ?tpropURI "" . } }UNION{ ?dqr a dqm:PropertyCompletenessRule . ?dqr dqm:testedClass ?tclass . ?dqr dqm:testedProperty1 ?tprop . ?dqr dqm:requiredValue "true"^^xsd:boolean . ?dqr dqm:requiredProperty "true"^^xsd:boolean . ?tclass dqm:hasURI ?tclassreal . ?tprop dqm:hasURI ?tpropreal . BIND (IRI(str(?tpropreal)) AS ?tpropURI) . BIND (IRI(str(?tclassreal)) AS ?tclassURI) . ?s2 a ?tclassURI . } }GROUP BY ?dqr ?tclassURI ?tpropURI
Uniqueness in Depth
| Scenario: | Calculate the completeness of a property based on the ratio of all instances of a class and instances that miss a specific property or property value. |
| Input: | All property completeness rules (in OWL DL Design) |
| Output: | Completeness Scores per Property Completeness Requirement |
SELECT ?dqr ?tclassURI ?tpropURI ((COUNT(?i)/2) AS ?violations) (COUNT(?i3) AS ?total) (((?total - ?violations)/?total) AS ?uniquenessDepth) WHERE { { ?dqr a dqm:UniqueValueRule . ?dqr dqm:testedClass ?tclass . ?dqr dqm:testedProperty1 ?tprop . ?tclass dqm:hasURI ?tclassreal . ?tprop dqm:hasURI ?tpropreal . BIND (IRI(str(?tpropreal)) AS ?tpropURI) . BIND (IRI(str(?tclassreal)) AS ?tclassURI) . ?i a ?tclassURI . ?i ?tpropURI ?uniqueValue1 . ?i2 ?tpropURI ?uniqueValue2 . FILTER(?i!=?i2 && (str(?uniqueValue1) = str(?uniqueValue2))) }UNION{ ?dqr a dqm:UniqueValueRule . ?dqr dqm:testedClass ?tclass . ?dqr dqm:testedProperty1 ?tprop . ?tclass dqm:hasURI ?tclassreal . ?tprop dqm:hasURI ?tpropreal . BIND (IRI(str(?tpropreal)) AS ?tpropURI) . BIND (IRI(str(?tclassreal)) AS ?tclassURI) . ?i3 a ?tclassURI . } }GROUP BY ?dqr ?tclassURI ?tpropURI
