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WWW.LEDS-PROJEKT.DE
E-GOVERNMENT AT ITS BEST OPEN, TRANSPARENT AND USEFULL
WHO WE ARE
HOLGER WOLLSCHLÄGER IT-CONSULTANT FRANZ KÖSTNER DEVELOPER LECOS GMBH LEIPZIG FULL IT-SERVICE PROVIDER OF THE CITY COUNCIL OF LEIPZIG
WWW.LEDS-PROJEKT.DE
PART OF:
LINKED ENTERPRISE DATA SERVICES
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:
OUR PART IN
• Publishing and usage of Linked Data in E-Government Processes
OUR PART IN
• Publishing and usage of Linked Data in E-Government Processes
• Adaption of the LEDS platform to develop an „E-Goverment Adapter“
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
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
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
CHALLENGES IN E-GOVERNMENT
Government department data pools
CHALLENGES IN E-GOVERNMENT
Redundant data
Government department data pools
CHALLENGES IN E-GOVERNMENT
Redundant data
Government department data pools
Irregulary data publishing
CHALLENGES IN E-GOVERNMENT
Redundant data
Government department data pools
Irregulary data publishing
Disunited data formats
CHALLENGES IN E-GOVERNMENT
Redundant data
Government department data pools
Irregulary data publishing
Disunited data formats
Unstructured data
CHALLENGES IN E-GOVERNMENT
Redundant data
Government department data pools
Irregulary data publishing
Disunited data formats
Unstructured data
No versioning
CHALLENGES IN E-GOVERNMENT
Redundant data
Government department data pools
Irregulary data publishing
Disunited data formats
Unstructured data
No versioning
Public association data pools
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
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
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
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
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?
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
USAGE OF LEDS PLATFORM
Services, Applications,
User authentification
Data integration, evaluation,
quality assertion
data recombination
authentificated access public access
OUR ACTUAL WORK
Build a Building ontology
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
Building (German: Gebäude ) A set which contains at least one physical room.
BUILDING ONTOLOGY
Physical room (German: Physischer Raum ) Is an 3D area which is limited by one or more walls, passages and barriers.
BUILDING ONTOLOGY
Passage (German: Durchgang ) Is a structure that connects physical room resp. buildings.
BUILDING ONTOLOGY
Wall (German: Wand ) Is a structure which starts from the floor and is mostly impermeable.
BUILDING ONTOLOGY
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
FIRST STEP
FIRST STEP
A future map of the city of Leipzig, consider the accessibility of buildings…
… depending on the degree of disability of citizens.
FIRST STEP
Raw data from the facility management system of the city council of Leipzig
UNDERLYING DATA
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)
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
FUTURE WORK
• 3D Map of the building • with services • and their room location and …
FUTURE WORK
… currently no idea, how this can be look
VISIT US ON
Twitter: @LEDSProjekt
Website: www.leds-projekt.de
Blog: www.leds-projekt.de/de/aktuelles
