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  /* CVS $Id: $ */
  package de.unibonn.iai.eis.luzzu.semantics.vocabularies; 
Vocabulary definitions from src/main/resources/vocabularies/daq/daq.ttl

Author(s):
Auto-generated by schemagen on 16 Mar 2015 14:57
  
  public class DAQ {
    

The RDF model that holds the vocabulary terms

 
     private static Model m_model = ModelFactory.createDefaultModel();
    
    

The namespace of the vocabulary as a string

 
     public static final String NS = "http://purl.org/eis/vocab/daq#";
    
    

The namespace of the vocabulary as a string

See also:
NS
 
     public static String getURI() {return ;}
    
    

The namespace of the vocabulary as a resource

 
     public static final Resource NAMESPACE = .createResource );
    
    

A metric can have multiple observations calculated by different agents.

 
     public static final Property computedBy = .createProperty"http://purl.org/eis/vocab/daq#computedBy" );
    
    

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.

 
     public static final Property computedOn = .createProperty"http://purl.org/eis/vocab/daq#computedOn" );
    
    

Each metric should have an expect data type for it's observed value (e.g. xsd:boolean, xsd:double etc...)

 
     public static final Property expectedDataType = .createProperty"http://purl.org/eis/vocab/daq#expectedDataType" );
    
    

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.

 
     public static final Property hasDimension = .createProperty"http://purl.org/eis/vocab/daq#hasDimension" );
    
    

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.

 
     public static final Property hasMetric = .createProperty"http://purl.org/eis/vocab/daq#hasMetric" );
    
    

Computed metrics can have 1 or more quality observations, where each computed resource has one observation.

 
     public static final Property hasObservation = .createProperty"http://purl.org/eis/vocab/daq#hasObservation" );
    
    

This property flags true if an assessed observation of a metric gives an estimate result instead of a more accurate one.

 
     public static final Property isEstimate = .createProperty"http://purl.org/eis/vocab/daq#isEstimate" );
    
    

Represents the metric being observed.

 
     public static final Property metric = .createProperty"http://purl.org/eis/vocab/daq#metric" );
    
    

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 abstract property links a metric to the required resource. This property should not be used directly.

 
     public static final Property requires = .createProperty"http://purl.org/eis/vocab/daq#requires" );
    
    

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).

 
     public static final Property value = .createProperty"http://purl.org/eis/vocab/daq#value" );
    
    

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.

 
     public static final Resource Category = .createResource"http://purl.org/eis/vocab/daq#Category" );
    
    

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.

 
     public static final Resource Dimension = .createResource"http://purl.org/eis/vocab/daq#Dimension" );
    
    

The smallest unit of measuring a quality dimension is a metric. Each metric have a value which is associated to the quality computed. Since this value is multi-typed (i.e. one metric might return true/false whilst another might require a double value), then the value's (daq:hasValue) range is inherited by the metric's attributes. A metric might also require additional information (e.g. a gold standard dataset to compare with). Therefore, a concrete metric representation shall also define such properties (see daq:requires). Metrics are provided as subclasses of this abstract class, which is not intended for direct usage.

    public static final Resource Metric = .createResource"http://purl.org/eis/vocab/daq#Metric" );
    
    

Defines a quality graph which will contain all metadata about quality metrics on the dataset.

    public static final Resource QualityGraph = .createResource"http://purl.org/eis/vocab/daq#QualityGraph" );
    
    

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.

    public static final Resource __ = .createResource"http://purl.org/eis/vocab/daq#" );
    
    public static final Resource dsd = .createResource"http://purl.org/eis/vocab/daq#dsd" );
    
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