http://2016.semantics.cc/holger-wollschl%C3%A4ger

1. WWW.LEDS-PROJEKT.DE
E-GOVERNMENT AT ITS BEST
OPEN, TRANSPARENT AND USEFULL

2. WHO WE ARE
HOLGER WOLLSCHLÄGER
IT-CONSULTANT
FRANZ KÖSTNER
DEVELOPER
LECOS GMBH LEIPZIG
FULL IT-SERVICE PROVIDER OF THE CITY COUNCIL OF LEIPZIG

3. WWW.LEDS-PROJEKT.DE
PART OF:
LINKED ENTERPRISE
DATA SERVICES

4. LINKED ENTERPRISE
DATA SERVICES
• Linked Data-driven IT-Infrastructure for
E-Business and E-Government Processes
• Started in 2015
• 6 work areas
• 3 years
• 7 partners
• supported by:

5. OUR PART IN
• Publishing and usage of Linked Data in E-Government Processes

6. OUR PART IN
• Publishing and usage of Linked Data in E-Government Processes
• Adaption of the LEDS platform to develop an „E-Goverment Adapter“

7. OUR PART IN
• Publishing and usage of Linked Data in E-Government Processes
• Adaption of the LEDS platform to develop an „E-Goverment Adapter“
• Creation of new services for public and private use

8. OUR PART IN
• Publishing and usage of Linked Data in E-Government Processes
• Adaption of the LEDS platform to develop an „E-Goverment Adapter“
• Creation of new services for public and private use
• Evaluation of new forms of visualization

9. OUR PART IN
• Publishing and usage of Linked Data in E-Government Processes
• Adaption of the LEDS platform to develop an „E-Goverment Adapter“
• Creation of new services for public and private use
• Evaluation of new forms of visualization
• Close cooperation with the University of Leipzig

10. CHALLENGES IN E-GOVERNMENT
Government department data pools

11. CHALLENGES IN E-GOVERNMENT
Redundant data
Government department data pools

12. CHALLENGES IN E-GOVERNMENT
Redundant data
Government department data pools
Irregulary data
publishing

13. CHALLENGES IN E-GOVERNMENT
Redundant data
Government department data pools
Irregulary data
publishing
Disunited data formats

14. CHALLENGES IN E-GOVERNMENT
Redundant data
Government department data pools
Irregulary data
publishing
Disunited data formats
Unstructured data

15. CHALLENGES IN E-GOVERNMENT
Redundant data
Government department data pools
Irregulary data
publishing
Disunited data formats
Unstructured data
No versioning

16. CHALLENGES IN E-GOVERNMENT
Redundant data
Government department data pools
Irregulary data
publishing
Disunited data formats
Unstructured data
No versioning
Public
association
data pools

17. CHALLENGES IN E-GOVERNMENT
Redundant data
Government department data pools
Irregulary data
publishing
Disunited data formats
Unstructured data
No versioning
Public
association
data pools
Industry data
pools

18. CHALLENGES IN E-GOVERNMENT
Redundant data
Government department data pools
Irregulary data
publishing
Disunited data formats
Unstructured data
No versioning
Public
association
data pools
Industry data
pools
Using expertise of
trusted partners

19. CHALLENGES IN E-GOVERNMENT
Redundant data
Government department data pools
Irregulary data
publishing
Disunited data formats
Unstructured data
No versioning
Public
association
data pools
Industry data
pools
Using expertise of
trusted partners
Providing paid services

20. CHALLENGES IN E-GOVERNMENT
Redundant data
Government department data pools
Irregulary data
publishing
Disunited data formats
Unstructured data
No versioning
Public
association
data pools
Industry data
pools
Using expertise of
trusted partners
Providing paid services
Providing free services

21. CHALLENGES IN E-GOVERNMENT
Redundant data
Public
association
data pools
Industry data
pools
Irregulary data
publishing
Using expertise of
trusted partners
Unstructured data
No versioning
Providing paid services
Providing free services
Disunited data formats
Government department data pools
Synergical effects?

22. Data versioning
Public
association
data pools
Industry data
pools
Reducing redundancy
Automated data
integration
Providing tools
Integration of
unstructured data
Provides
authentification
methods
Automated data
publishing
LEDS platform
Government departments
CHALLENGES IN E-GOVERNMENT

23. USAGE OF LEDS PLATFORM
Services,
Applications,
User authentification
Data integration,
evaluation,
quality assertion
data recombination
authentificated access public access

24. OUR ACTUAL WORK
Build a Building ontology

25. The building ontology is inspired and based on ideas of M. Goetz and A. Zipf
(Related paper: Extending OpenStreetMap to Indoor Environment: Bringing Volunteered
Geographic Information to the Next Level)
BUILDING ONTOLOGY

26. Building (German: Gebäude )
A set which contains at least one physical room.
BUILDING ONTOLOGY

27. Physical room (German: Physischer Raum )
Is an 3D area which is limited by one or more
walls, passages and barriers.
BUILDING ONTOLOGY

28. Passage (German: Durchgang )
Is a structure that connects physical room resp.
buildings.
BUILDING ONTOLOGY

29. Wall (German: Wand )
Is a structure which starts from the floor and is
mostly impermeable.
BUILDING ONTOLOGY

30. Barrier (German: Barriere )
Is a mostly impermeable structure that is
preventing someone from passing without
separating a physical room in multiple physical
rooms.
BUILDING ONTOLOGY

31. FIRST STEP

32. FIRST STEP
A future map of the city of Leipzig, consider the accessibility of
buildings…

33. … depending on the degree of disability of citizens.
FIRST STEP

34. Raw data from the facility management system of the city council of
Leipzig
UNDERLYING DATA

35. Raw data from the facility management system of the city council of
Leipzig
UNDERLYING DATA
Raw data from the “Behindertenverband Leipzig”
(a non-governmental organization)

36. Raw data from the facility management system of the city council of
Leipzig
UNDERLYING DATA
Raw data from the “Behindertenverband Leipzig”
(a non-governmental organization)
Enriched with other information about buildings and ways in town

37. FUTURE WORK
• 3D Map of the building
• with services
• and their room location
and …

38. FUTURE WORK
… currently no idea,
how this can be look

39. VISIT US ON
Twitter:@LEDSProjekt
Website: www.leds-projekt.de
Blog: www.leds-projekt.de/de/aktuelles