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This module deals with the RESTful APIs
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@prefix daq:     		 .
@prefix owl:	 		 .
@prefix rdf:    		 .
@prefix rdfg:	 		 .
@prefix rdfs:    		 .
@prefix xsd:     		 .
@prefix voaf:    		.
@prefix dct:     		.
@prefix foaf:    		.
@prefix qb:		 		.
@prefix sdmx-measure:    .
@prefix sdmx-attribute:   .
@prefix sdmx-dimension:   .
@prefix dc:  .
@prefix prov:  .
@prefix vann:  .

# VOCABULARY
daq:
	a owl:Ontology, voaf:Vocabulary ;
        dct:title "Dataset Quality Vocabulary (daQ)"@en ;
        dc:description "The Dataset Quality Vocabulary (daQ) is a lightweight, extensible core vocabulary for attaching the result of quality benchmarking of a linked open dataset (usually an expensive process) to that dataset.  daQ is designed to be extended by custom quality metrics.  Use cases include filtering and ranking datasets by quality."@en ;
        dct:creator [
        		foaf:name "Jeremy Debattista";
        		foaf:homepage  ;
        		foaf:mbox 
        	], [
        		foaf:name "Christoph Lange";
        		rdfs:seeAlso ;
        		foaf:homepage 
        	] ;
        dct:modified "2016-05-31"^^xsd:date ;
        dct:language "en"^^xsd:language ;
        vann:preferredNamespaceUri "http://purl.org/eis/vocab/daq#";
    	vann:preferredNamespacePrefix "daq";
    	foaf:homepage  .

# DATACUBE DATA STRUTURE DEFINITION
daq:dsd a qb:DataStructureDefinition ;
	# Dimensions
	qb:component [ qb:dimension daq:metric ; qb:order 1 ; ] ;
	qb:component [ qb:dimension daq:computedOn ; qb:order 2 ; ] ;
	qb:component [ qb:dimension sdmx-dimension:timePeriod ; qb:order 3 ; ] ;
	# Measures
	qb:component [ qb:measure daq:value ; ] .

# CLASSES
daq:QualityGraph
	a	rdfs:Class, owl:Class  ;
	rdfs:subClassOf	rdfg:Graph , qb:DataSet ,
		[ 	rdf:type owl:Restriction ;
			owl:onProperty qb:structure ;
			owl:hasValue daq:dsd
		];
	rdfs:comment	"Defines a quality graph which will contain all metadata about quality metrics on the dataset."@en ;
	rdfs:label "Quality Graph Statistics"@en .

daq:Observation
	a	rdfs:Class, owl:Class ;
	rdfs:subClassOf prov:Entity, qb:Observation,
		[ 	rdf:type owl:Restriction ;
			owl:onProperty daq:metric ;
			owl:minCardinality "1"^^xsd:nonNegativeInteger
		] ,
		[ 	rdf:type owl:Restriction ;
			owl:onProperty daq:value ;
			owl:cardinality "1"^^xsd:nonNegativeInteger
		] ,
		[ 	rdf:type owl:Restriction ;
			owl:onProperty sdmx-dimension:timePeriod ;
			owl:cardinality "1"^^xsd:nonNegativeInteger
		] ,
		[ 	rdf:type owl:Restriction ;
			owl:onProperty daq:computedOn ;
			owl:cardinality "1"^^xsd:nonNegativeInteger
		]  ,
		[ 	rdf:type owl:Restriction ;
			owl:onProperty daq:isEstimate ;
			owl:cardinality "1"^^xsd:nonNegativeInteger
		]  ;
	rdfs:comment "A quality observation represents the statistical and provenance information of the attached metric's assessment activity."@en ;
	rdfs:label "Quality Observation"@en .

# Abstract Classes
daq:Category
	a	rdfs:Class, owl:Class ;
	rdfs:comment	"The highest level of quality metric is a category. A category groups a number of dimensions relevant to each other which aims at measuring the quality of a dataset from different aspects. Categories are provided as subclasses of this abstract class, which is not intended for direct usage."@en ;
	rdfs:label	"Category"@en .

daq:Dimension
	a	rdfs:Class, owl:Class ;
	rdfs:comment	"Each dimension is part of a larger group called category (See daq:Category). Each dimension has a number of metrics which are associated to it. A dimension is linked with a category using the daq:hasDimension property. Dimensions are provided as subclasses of this abstract class, which is not intended for direct usage."@en ;
	rdfs:label	"Dimension"@en .

daq:Metric
	a	rdfs:Class, owl:Class ;
	rdfs:subClassOf
		[ 	rdf:type owl:Restriction ;
			owl:onProperty daq:hasObservation ;
			owl:minCardinality "1"^^xsd:nonNegativeInteger
		]  ,
		[ 	rdf:type owl:Restriction ;
			owl:onProperty daq:expectedDataType ;
			owl:cardinality "1"^^xsd:nonNegativeInteger
		]  ;
	rdfs:comment	"The smallest unit of measuring a quality dimension is a metric. A metric belongs to exactly one dimension. Each metric has one or more observations (\texttt{daq:hasObservation}), which records data quality assessment value following a computation. Metrics are provided as subclasses of this abstract class, which is not intended for direct usage."@en ;
	rdfs:label	"Metric"@en .


# PROPERTIES

# Generic Properties
daq:computedBy
	a	owl:DeprecatedProperty ;
	rdfs:label	"computed by"@en ;
	rdfs:comment "**Deprecated Property**. The computedBy property defines the Agent that computed a metric on a dataset."@en;
	rdfs:domain	qb:Observation .

daq:computedOn
	a	rdf:Property, owl:ObjectProperty, qb:DimensionProperty ;
	rdfs:label	"computed on"@en ;
	rdfs:comment	"Quality metrics can be (in principle) calculated on various forms of data (such as datasets, graphs, set of triples etc...). This vocabulary allow the owner/user of such RDF data to calculate metrics on multiple (and different) resources."@en ;
	rdfs:domain	daq:Observation ;
	rdfs:range	rdfs:Resource .

daq:hasObservation
		a	rdf:Property, owl:ObjectProperty ;
		rdfs:label	"has observation"@en ;
		rdfs:comment	"Computed metrics can have 1 or more quality observations, where each computed resource has one observation."@en ;
		rdfs:domain	daq:Metric ;
		rdfs:range	 daq:Observation ;
		owl:inverseOf daq:metric .

daq:metric
		a	rdf:Property, owl:ObjectProperty, qb:DimensionProperty ;
		rdfs:label	"metric"@en ;
		rdfs:comment	"Represents the metric being observed."@en ;
		rdfs:domain	daq:Observation ;
		rdfs:range	 daq:Metric ;
		owl:inverseOf daq:hasObservation .

daq:value
		a	rdf:Property, owl:DatatypeProperty, qb:MeasureProperty ;
		rdfs:label	"value"@en ;
		rdfs:comment	"Each metric will have a value computed. In order to deal with the different return type of the metric computation, this property links a metric with a value object (e.g. boolean, double, Literal)."@en ;
		rdfs:domain	daq:Observation .


daq:expectedDataType
		a	rdf:Property, owl:DatatypeProperty ;
		rdfs:label	"expected data type"@en ;
		rdfs:comment	"Each metric should have an expect data type for it's observed value (e.g. xsd:boolean, xsd:double etc...)"@en ;
		rdfs:domain	daq:Metric ;
		rdfs:range	 xsd:anySimpleType .

daq:requires
	a	rdf:Property, owl:ObjectProperty ;
	rdfs:label	"requires"@en ;
	rdfs:comment	"A metric might require a number of external resources (e.g. a gold standard) in order to be able to measure the quality. In order to cater for the most generic requirement, this property links a metric to the required resource (e.g. a URI to the gold standard dataset used)."@en ;
	rdfs:domain	daq:Metric ;
	rdfs:range	rdfs:Resource .

daq:isEstimate
	a	rdf:Property, owl:DatatypeProperty ;
	rdfs:label	"is estimate"@en ;
	rdfs:comment	"This property flags true if an assessed observation of a metric gives an estimate result instead of a more accurate one."@en ;
	rdfs:domain	daq:Observation ;
	rdfs:range	xsd:boolean  .

sdmx-dimension:timePeriod
	a	qb:DimensionProperty ;
	rdfs:domain	daq:Observation ;
	rdfs:range xsd:dateTime .

# Abstract Properties
daq:hasDimension
	a	rdf:Property, owl:ObjectProperty ;
	rdfs:label	"hasDimension"@en ;
	rdfs:comment	"The category concept classifies dimensions related to the measurement of quality for a specific criteria. This is an abstract property and should not be used directly. Specific sub-properties should be inherited for different dimensions."@en ;
	rdfs:domain	daq:Category ;
	rdfs:range	daq:Dimension .

daq:hasMetric
	a	rdf:Property, owl:ObjectProperty ;
	rdfs:label	"hasMetric"@en ;
	rdfs:comment	"A dimension is an abstract concept which groups an number of more concrete metrics to measure quality of a dataset. This is an abstract property and should not be used directly. Specific sub-properties should be inherited for different metrics."@en ;
	rdfs:domain	daq:Dimension ;
	rdfs:range	daq:Metric .