de.unibonn.iai.eis.luzzu.semantics.vocabularies

Class DAQ

java.lang.Object

de.unibonn.iai.eis.luzzu.semantics.vocabularies.DAQ

public class DAQ
extends Object

Vocabulary definitions from src/main/resources/vocabularies/daq/daq.ttl

Author:

Auto-generated by schemagen on 19 Feb 2015 11:13

Field Summary

Fields

Modifier and Type	Field and Description
static com.hp.hpl.jena.rdf.model.Resource	__ 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.
static com.hp.hpl.jena.rdf.model.Resource	Category The highest level of quality metric is a category.
static com.hp.hpl.jena.rdf.model.Property	computedBy A metric can have multiple observations calculated by different agents.
static com.hp.hpl.jena.rdf.model.Property	computedOn Quality metrics can be (in principle) calculated on various forms of data (such as datasets, graphs, set of triples etc...).
static com.hp.hpl.jena.rdf.model.Resource	Dimension Each dimension is part of a larger group called category (See daq:Category).
static com.hp.hpl.jena.rdf.model.Resource	dsd
static com.hp.hpl.jena.rdf.model.Property	expectedDataType Each metric should have an expect data type for it's observed value (e.g.
static com.hp.hpl.jena.rdf.model.Property	hasDimension The category concept classifies dimensions related to the measurement of quality for a specific criteria.
static com.hp.hpl.jena.rdf.model.Property	hasMetric A dimension is an abstract concept which groups an number of more concrete metrics to measure quality of a dataset.
static com.hp.hpl.jena.rdf.model.Property	hasObservation Computed metrics can have 1 or more quality observations, where each computed resource has one observation.
static com.hp.hpl.jena.rdf.model.Property	isEstimate This property flags true if an assessed observation of a metric gives an estimate result instead of a more accurate one.
static com.hp.hpl.jena.rdf.model.Property	metric Represents the metric being observed.
static com.hp.hpl.jena.rdf.model.Resource	Metric The smallest unit of measuring a quality dimension is a metric.
static com.hp.hpl.jena.rdf.model.Resource	NAMESPACE The namespace of the vocabulary as a resource
static String	NS The namespace of the vocabulary as a string
static com.hp.hpl.jena.rdf.model.Resource	QualityGraph Defines a quality graph which will contain all metadata about quality metrics on the dataset.
static com.hp.hpl.jena.rdf.model.Property	requires A metric might require a number of external resources (e.g.
static com.hp.hpl.jena.rdf.model.Property	value Each metric will have a value computed.

Constructor Summary

Constructors

Constructor and Description
DAQ()

Method Summary

Methods

Modifier and Type	Method and Description
static String	getURI() The namespace of the vocabulary as a string

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

NS

public static final String NS

The namespace of the vocabulary as a string

See Also:

Constant Field Values

NAMESPACE

public static final com.hp.hpl.jena.rdf.model.Resource NAMESPACE

The namespace of the vocabulary as a resource

computedBy

public static final com.hp.hpl.jena.rdf.model.Property computedBy

A metric can have multiple observations calculated by different agents.

computedOn

public static final com.hp.hpl.jena.rdf.model.Property computedOn

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.

expectedDataType

public static final com.hp.hpl.jena.rdf.model.Property expectedDataType

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

hasDimension

public static final com.hp.hpl.jena.rdf.model.Property hasDimension

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.

hasMetric

public static final com.hp.hpl.jena.rdf.model.Property hasMetric

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.

hasObservation

public static final com.hp.hpl.jena.rdf.model.Property hasObservation

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

isEstimate

public static final com.hp.hpl.jena.rdf.model.Property isEstimate

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

metric

public static final com.hp.hpl.jena.rdf.model.Property metric

Represents the metric being observed.

requires

public static final com.hp.hpl.jena.rdf.model.Property requires

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.

value

public static final com.hp.hpl.jena.rdf.model.Property value

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).

Category

public static final com.hp.hpl.jena.rdf.model.Resource Category

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.

Dimension

public static final com.hp.hpl.jena.rdf.model.Resource Dimension

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.

Metric

public static final com.hp.hpl.jena.rdf.model.Resource Metric

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.

QualityGraph

public static final com.hp.hpl.jena.rdf.model.Resource QualityGraph

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

__

public static final com.hp.hpl.jena.rdf.model.Resource __

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.

dsd

public static final com.hp.hpl.jena.rdf.model.Resource dsd

Constructor Detail

DAQ

public DAQ()

Method Detail

getURI

public static String getURI()

The namespace of the vocabulary as a string

See Also:

NS