Data Quality Assessment Reports - SemWebQuality.org

Data Quality Assessment Reports

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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.
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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 pre-defined data requirements on the fly.
  
 
==Completeness==
 
==Completeness==

Revision as of 17:12, 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 pre-defined data requirements on the fly.

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 uniqueness of a property based on the ratio of all instances of a class and instances that have non-unique property values.
Input: All unique value rules (in OWL DL Design)
Output: Uniqueness Scores per unique value rule
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

Syntactic Accuracy

Semantic Accuracy

Timliness

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