from quality on spatial data to data quality vocabulary (dqv) · 2018-06-22 · that a potential...
TRANSCRIPT
2nd International Workshop on Spatial Data Quality
From quality on spatial data to data quality vocabulary (DQV) for the Semantic Web - the Norwegian experience of aligning ISO 19157 Data
Quality to DQV.
Morten Borrebæk/Magni Busterud
Norwegian Mapping Authority
Norway
• 5 million inhabitants
• 18 counties
• 422 municipalities
• 324 000 km2 land territory
• 2 million km2 sea territory
• 3275 datasets
• >200 INSPIRE datasets
What about quality??
Background
ISO 19157:2013 Data Quality
• Quality model• Evaluation method• Reporting• Conformance tests• National register of quality meassures
Spatial data quality
Production of basis spatial data
Backgroundclass Fig C.1 - Specification Packages
ISO 19110 Methodology for feature cataloguing
(from ISO TC211)
«Leaf»
Specification Feature Based Information
(from Specification Content and Structure)
Specification Content and StructureISO 19115:2006 Metadata (Corrigendum)
(from ISO 19115-All Metadata)
Specification Additional Information
«Leaf»
Specification Scopes
«Leaf»
Specification Reference System
«Leaf»
Specification Portrayal Information
«Leaf»
Specification Maintenance Information
«Leaf»
Specification Identification
«Leaf»
Specification Deliv ery Information
«Leaf»
Specification Data Quality Requirement
«Leaf»
Specification Data Capture Information
«Leaf»
Specification Cov erages and Images
(from Specification Content and Structure)
«Leaf»
DPS
Packages in a DPSclass Class Model
Data product
specificationData Product Dataset Metadata
+describedBy
1..
+specifies
0..*
+implementedAs
0..*
Status (Geonorge.no)
Not all products have a product specificationNot all product specifications have quality requirements
Still a long way to go!
Spatial data and eGovernment in Norway
1st priority: Data Catalog
Other domain-specific cataloges
Spatial data
https://fellesdatakatalog.brreg.no/datasets/
https://kartkatalog.geonorge.no/search
http://inspire-geoportal.ec.europa.eu/
https://www.europeandataportal.eu/
https://data.europa.eu/euodp/en/data/
BIM
ICT policy
GIS
W3C(Semantic web)
Information management
ISO/TC 59/SC13 and CEN/TC 442
ISO/TC 211 - OGC
Geospatial solutions(983K Euro)
(TOGAF/ARCHIMATE)
(UML)
(Express)
EIF
131 Million Euro(2016-2020)
URI-pattern
Spatial data and eGovernment in Norway
ISA – Interoperability Solutions for European public administration – impact assessment
Experts(By invitation only)
Public hearingEUEEC
”Endorsement”
Public Authorities
Data Catalog
Vocabulary(DCAT)
Agency for Public Management and eGovernment
Quality in eGoverment
There is a «strong» national recommendation to describe quality of datasets in the catalogue of publicsector datasets.
When the public sectors have described quality in theirdatasets, it shall be implemented in the catalogue.
The DCAT Application Profile for data portals (DCAT-AP) is a specification based on the Data Cataloguevocabulary (DCAT).
DCAT-AP provides a common specification for describing public sector datasets in Europe to enablethe exchange of descriptions of datasets among data portals.
DCAT-AP has an extension GeoDCAT-AP for describing geospatial datasets, dataset series and services.
Quality will be implemented as an extension to theDCAT-AP-NO profile.
Automatic processing and digital services can be improvedand made more efficient withgood access to qualitycontrolled data from publicsector datasets.
Digital agendaNorway
International standard ontologyhttps://github.com/ISO-TC211/GOM/tree/master/isotc211_GOM_harmonizedOntology/19157/2013
Derived from the UML models in ISO 19157 Data Quality, applying the mappingrules in ISO 19150-2:2015, which defines the conversion of the UML static view modeling elements used in the ISO geographic information standards into OWL/RDF.
Data Quality vocabulary (DCAT)
Provided by W3C, draft document that may be updated, replaced or obsoleted by other documents at any time.
It provides a framework in which the quality of a dataset can be described, whether by the dataset publisher or by a broader community of users. It does not provide a formal, complete definition of quality, rather, it sets out a consistent means by which information can be provided such that a potential user of a dataset can make his/her own judgment about its fitness for purpose.
Mapping to ISO/IEC 25012:2008 Software engineering -- Software product Quality Requirements and Evaluation (SQuaRE) -- Data quality model. No mapping to ISO 19157 Data Quality
The model shows the most relevant classes in DQV (source: W3C DQV ).
Quality in eGovernmentclass Hov eddiagram
(dqv :Metric)
Kvalitetsmål
(dqv :qualityMeasurement)
Måleresultat
(dqv :Dimension)
Kv alitetsdimensjon
(dqv :QualityAnnotation)
Kv alitetsnote
(dcat:datasett eller dcat:Distribution)
Dataset
(dct:Standard)
Standard/Spesifikasjon
(oa:TextualBody)
TekstligBeskriv else
(dqv :UserQualityFeedback)
BrukerKv alitetstilbakemelding
(oa:Motiv ation)
Motiv asjon(dqv :Dimension)
Kv alitetsdeldimensjon
Hvorav den ene må være
dqv:QualityAssessment
(dqv:InDimension)
erIDimensjon
0..*
(dqv:IsMeasurementOf)
erMåleresultatAv 1
(dqv:inDimension)
erIDimensjon0..*
(dqv:hasQualityMeasurement)
harKvantifiserbarKvalitet
0..*
(dqv:inDimension)
erIDelDimensjon 1
(dct:conformsTo)
iSamvarMed 0..*
(oa:motivatedBy)
motivertAv1..*
(dqv:hasQualityAnnotation)
harKvalitetsnote
0..*
+skos:broader
1
(oa:hasBody)
harTekst 0..*
Examples:
Quality sub-dimension
RDF
Currentness <> dqv:hasQualityAnnotation [ a dqv:QualityAnnotation ; # kvalitetsnotedqv:inDimension iso:Currentness ; oa:hasBody [
rdf:value=”Enhetsregisteret er kontinuerlig oppdatert, men egenskapen antall ansatte oppdateres månedlig fra Aa-registeret”@no;
] .] .
Conformance <>dcat:conformsTo [ skos:prefLabel “Produktspesifikasjon NVE flomsoner
1.0”@no rdfs:seeAlsohttp://sosi.geonorge.no/Produktspesifikasjoner/Produktspesifikasjon_NVE_Flomsoner_1%200.pdf
] .
Examples:
Quality sub-dimension
RDF
Completeness <> dqv:hasQualityAnnotation [ a dqv:QualityAnnotation ; dqv:inDimension iso:Completeness ; oa:hasBody [ rdf:value=”Enhetsregisteret inneholder ikke slettede selskaper før 1994.”@no; ] . ] .