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Linked GeoRef
An Open Dataset and API for Improving Geographical
Annotation and Finding of Public Sector Information
Knud Möller (Datalysator), Florian Marienfeld (Willhöft IT)
2nd Open Data Dialog, 19 November 2013, Berlin, Germany

S trOR
A LYns aAdTaining
DAT olutio n
web data s
The Challenge
• Most (Open

(Government)) datasets
refer to some location.

• Let’s declare that in the
metadata!

http://www.opendata-hro.de

D TA
2

LYSATOR
web data solutions and training
Which Standard?
•There are plenty of options

• ISO authority: ISO 3166-1/2, Codes for the
representation of names of countries and
their subdivisions

• EU regulation: NUTS (Nomenclature of
Units for Territorial Statistics)

• German elaboration: Amtlicher

Gemeindeschlüssel (AGS) / Amtlicher
Regionalschlüssel (ARS)

• Geometry: Geographical Bounding Boxes
3

D TA

LYSATOR
web data solutions and training
Best fit for Germany?
• AGS would work great
• From federal states down to boroughs:
• 05: Nordrhein-Westfalen
• 3: Regierungsbezirk Köln
• 82: Rhein-Sieg-Kreis
• 064: Gemeinde Swisttal
➡ 0538364
D TA
4

LYSATOR
web data solutions and training
053: Regierungsbezirk Köln

05382: Rhein-Sieg-Kreis
05: Nordrhein-Westfalen
5

Maps taken from Wikipedia

05382064: Gemeinde Swisttal

D TA

LYSATOR
web data solutions and training
Problems with AGS
• only Germany
• not even all of it:
• no further detail for city-states like Berlin
or Hamburg (no “Neukölln” in AGS)

• city states have their own local systems, e.g.
“Lebensweltlich orientierte Räume” (LOR) in
Berlin

D TA
6

LYSATOR
web data solutions and training
Problems with others
• NUTS and ISO:

• not as detailed as AGS
• not “at home” in administration

• bounding boxes

• not precise enough
• coordinates not so easy to read as text

• Everybody likes their own approach best...
D TA
7

LYSATOR
web data solutions and training
Why Choose?
• Proposal: Linked Data solution
• combine all approaches in one
dataset

• every code in every system gets

unique identifier: a URI dereference it (surf to it) and find
out what it means!

• codes are linked: what is the same? what is
contained in what (hierarchy)?
8

D TA

LYSATOR
web data solutions and training
Linked GeoRef
• http://lgeoref.org/nuts/DE (Germany)
• http://lgeoref.org/nuts/DEA (North Rhine-Westphalia)
• http://lgeoref.org/ags/05 (North Rhine-Westphalia)
• http://lgeoref.org/ags/12 (Brandenburg)
• http://lgeoref.org/ags/05/3/82 (Rhein-Sieg-Kreis)
• http://lgeoref.org/berlin/lor/08 (Neukölln)
• http://lgeoref.org/berlin/lor/02/02/02/06 (Graefekiez)
D TA
9

LYSATOR
web data solutions and training
Integrate Reference Systems
Germany

DE
NRW

Berlin

DEA

DE3

D TA
10

LYSATOR
web data solutions and training
Integrate Reference Systems
Germany

DE
Berlin

NRW

DEA
05

DE3
11

Reg.-Bez. Köln

05/3
Rhein-Sieg-Kreis

05/3/82
Swisttal

D TA

05/3/82/064
11

LYSATOR
web data solutions and training
Integrate Reference Systems
Germany

DE
Berlin

NRW

DEA
05
FriedrichshainKreuzberg

Reg.-Bez. Köln

DE3
11
02

05/3
Rhein-Sieg-Kreis

05/3/82

02/02
02/02/02

08
Neukölln

Kreuzberg Süd
Tempelhofer Vorstadt

Swisttal

05/3/82/064

Graefekiez
12

02/02/02/08

D TA

LYSATOR
web data solutions and training
D TA
13

LYSATOR
web data solutions and training
Usecase: govdata.de
• geo-referencing data
• map-based search and filtering
• hard to enforce one scheme in metadata
• Linked GeoRef could help: spatial-uri field
in addition to spatial (coordinates) and
spatial-text (human-readable):

"spatial-uri": "http://lgeoref.org/berlin/lor/08"

D TA
14

LYSATOR
web data solutions and training
Usecase: Code Converter
• convert between different reference systems
• “which AGS is this NUTS ‘DEE’”?

D TA
15

LYSATOR
web data solutions and training
Collateral Usage
• central reference point for different code
systems

• lookup for relations between codes

(containment, identity, overlap, etc.)

• links to other widely-used reference

datasets, e.g. DBpedia, GeoNames
D TA
16

LYSATOR
web data solutions and training
Internals
• data in various formats (mostly Excel) from various
sources converted to RDF
enriched and
• interlinked,Geonames) linked to external data
(DBpedia,
• each reference system in its own namespace
•
•
•
•

http://lgeoref.org/ags/
http://lgeoref.org/nuts/
http://lgeoref.org/berlin/lor/
etc.

• hosted in RDF store with SPARQL endpoint (dydra.com)
• simple Linked Data frontend with Pubby
D TA
17

LYSATOR
web data solutions and training
Take-home
• challenge: Open Data needs geographical
context

• many useful geo reference systems (AGS,
NUTS, ...)

• but: everybody likes a different one
• so: don’t choose, use all of them together
• Linked GeoRef provides integrated,
dereferenceable framework for this

D TA
18

LYSATOR
web data solutions and training
References
•

NUTS: http://epp.eurostat.ec.europa.eu/portal/page/portal/
nuts_nomenclature/introduction

•
•

AGS: http://de.wikipedia.org/wiki/Amtlicher_Gemeindeschlüssel

•
•

Dydra: http://dydra.com

LOR: http://www.stadtentwicklung.berlin.de/planen/
basisdaten_stadtentwicklung/lor/

Pubby: https://github.com/cygri/pubby

D TA
19

LYSATOR
web data solutions and training

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Linked GeoRef

  • 1. Linked GeoRef An Open Dataset and API for Improving Geographical Annotation and Finding of Public Sector Information Knud Möller (Datalysator), Florian Marienfeld (Willhöft IT) 2nd Open Data Dialog, 19 November 2013, Berlin, Germany S trOR A LYns aAdTaining DAT olutio n web data s
  • 2. The Challenge • Most (Open (Government)) datasets refer to some location. • Let’s declare that in the metadata! http://www.opendata-hro.de D TA 2 LYSATOR web data solutions and training
  • 3. Which Standard? •There are plenty of options • ISO authority: ISO 3166-1/2, Codes for the representation of names of countries and their subdivisions • EU regulation: NUTS (Nomenclature of Units for Territorial Statistics) • German elaboration: Amtlicher Gemeindeschlüssel (AGS) / Amtlicher Regionalschlüssel (ARS) • Geometry: Geographical Bounding Boxes 3 D TA LYSATOR web data solutions and training
  • 4. Best fit for Germany? • AGS would work great • From federal states down to boroughs: • 05: Nordrhein-Westfalen • 3: Regierungsbezirk Köln • 82: Rhein-Sieg-Kreis • 064: Gemeinde Swisttal ➡ 0538364 D TA 4 LYSATOR web data solutions and training
  • 5. 053: Regierungsbezirk Köln 05382: Rhein-Sieg-Kreis 05: Nordrhein-Westfalen 5 Maps taken from Wikipedia 05382064: Gemeinde Swisttal D TA LYSATOR web data solutions and training
  • 6. Problems with AGS • only Germany • not even all of it: • no further detail for city-states like Berlin or Hamburg (no “Neukölln” in AGS) • city states have their own local systems, e.g. “Lebensweltlich orientierte Räume” (LOR) in Berlin D TA 6 LYSATOR web data solutions and training
  • 7. Problems with others • NUTS and ISO: • not as detailed as AGS • not “at home” in administration • bounding boxes • not precise enough • coordinates not so easy to read as text • Everybody likes their own approach best... D TA 7 LYSATOR web data solutions and training
  • 8. Why Choose? • Proposal: Linked Data solution • combine all approaches in one dataset • every code in every system gets unique identifier: a URI dereference it (surf to it) and find out what it means! • codes are linked: what is the same? what is contained in what (hierarchy)? 8 D TA LYSATOR web data solutions and training
  • 9. Linked GeoRef • http://lgeoref.org/nuts/DE (Germany) • http://lgeoref.org/nuts/DEA (North Rhine-Westphalia) • http://lgeoref.org/ags/05 (North Rhine-Westphalia) • http://lgeoref.org/ags/12 (Brandenburg) • http://lgeoref.org/ags/05/3/82 (Rhein-Sieg-Kreis) • http://lgeoref.org/berlin/lor/08 (Neukölln) • http://lgeoref.org/berlin/lor/02/02/02/06 (Graefekiez) D TA 9 LYSATOR web data solutions and training
  • 10. Integrate Reference Systems Germany DE NRW Berlin DEA DE3 D TA 10 LYSATOR web data solutions and training
  • 11. Integrate Reference Systems Germany DE Berlin NRW DEA 05 DE3 11 Reg.-Bez. Köln 05/3 Rhein-Sieg-Kreis 05/3/82 Swisttal D TA 05/3/82/064 11 LYSATOR web data solutions and training
  • 12. Integrate Reference Systems Germany DE Berlin NRW DEA 05 FriedrichshainKreuzberg Reg.-Bez. Köln DE3 11 02 05/3 Rhein-Sieg-Kreis 05/3/82 02/02 02/02/02 08 Neukölln Kreuzberg Süd Tempelhofer Vorstadt Swisttal 05/3/82/064 Graefekiez 12 02/02/02/08 D TA LYSATOR web data solutions and training
  • 13. D TA 13 LYSATOR web data solutions and training
  • 14. Usecase: govdata.de • geo-referencing data • map-based search and filtering • hard to enforce one scheme in metadata • Linked GeoRef could help: spatial-uri field in addition to spatial (coordinates) and spatial-text (human-readable): "spatial-uri": "http://lgeoref.org/berlin/lor/08" D TA 14 LYSATOR web data solutions and training
  • 15. Usecase: Code Converter • convert between different reference systems • “which AGS is this NUTS ‘DEE’”? D TA 15 LYSATOR web data solutions and training
  • 16. Collateral Usage • central reference point for different code systems • lookup for relations between codes (containment, identity, overlap, etc.) • links to other widely-used reference datasets, e.g. DBpedia, GeoNames D TA 16 LYSATOR web data solutions and training
  • 17. Internals • data in various formats (mostly Excel) from various sources converted to RDF enriched and • interlinked,Geonames) linked to external data (DBpedia, • each reference system in its own namespace • • • • http://lgeoref.org/ags/ http://lgeoref.org/nuts/ http://lgeoref.org/berlin/lor/ etc. • hosted in RDF store with SPARQL endpoint (dydra.com) • simple Linked Data frontend with Pubby D TA 17 LYSATOR web data solutions and training
  • 18. Take-home • challenge: Open Data needs geographical context • many useful geo reference systems (AGS, NUTS, ...) • but: everybody likes a different one • so: don’t choose, use all of them together • Linked GeoRef provides integrated, dereferenceable framework for this D TA 18 LYSATOR web data solutions and training
  • 19. References • NUTS: http://epp.eurostat.ec.europa.eu/portal/page/portal/ nuts_nomenclature/introduction • • AGS: http://de.wikipedia.org/wiki/Amtlicher_Gemeindeschlüssel • • Dydra: http://dydra.com LOR: http://www.stadtentwicklung.berlin.de/planen/ basisdaten_stadtentwicklung/lor/ Pubby: https://github.com/cygri/pubby D TA 19 LYSATOR web data solutions and training