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A FRAMEWORK SEMANTIC BUSINESS
PROCESS MANAGEMENT IN E-GOVERNMENT
Zhan Liu,
Anne Le Calvé, Fabian Cretton,
Florian Evéquoz and Elena Mugellini
Institute of Business Information Systems
University of Applied Sciences and Arts Western Switzerland
HES-SO Valais, Sierre, Switzerland
OVERVIEW
• Who Are We ?
• Introduction
• Semantic Problems for E-Government in Switzerland
• Semantic Business Process Management in EGovernment
• Framework for Semantic Business Process Management
• Conclusion and Future Research
Who Are We ?
• 70 members of staff
–
–
–
–

20 Professors
15 Research scientists
27 Research assistants
8 Administrative collaborators
and interns

• 240 projects
– 2012

10%

Turnover in 2012

• CHF 7.243 millions
Ra&D

– Turnover in 2012
90%

Consulting services
Our Core Competencies
eEnergy

eGov

eHealth

ERP

eServices
BPM
Cloud Computing
Data Intelligence
Ergonomy, Usability
Intelligent Agents
Internet of Things
Medical Information
Processing
Semantic Web
Software Engineering
Introduction
• New challenges in today’s government issues
•  Business Process Management
•  + Semantic Web Technologies
Motivation
• Switzerland: a special case
» Small, But…
–
–
–
–

Very diversified (26 cantons and 2,551 communes)
Higher level of freedom to make decisions independently
Four national languages (German, French, Italian, Romansh)
International organizations and foreigners

However, little is known about the possible integrations of
semantic web technologies in business process management in
e-Government
Research Question

How could semantic web technology improve business
processes management in an e-Government context in
Switzerland ?
Semantic Problems
1. the way information is presented and accessed
2. the inconsistencies of semantic information among different
agencies
3. poor Change Management in e-government business
processes
4. poor Process Management
E-Government in CH
• In early 2007, the Swiss Federal Council adopted a national
e-Government strategy.
– “Framework Agreement”; “eCH white paper”

• Centers of expertise for e-Government in Switzerland
– E.g., eCH, BUAS, etc.

• Official web portal, “national gateway”: www.ch.ch
– Five languages: DE, FR, IT, RO and EN
– However, not widely used by the public
E-Government in CH – cont.
• Now Switzerland adopts the uniform standard business
process modeling notation (BPMN) version 2.0
• What is BPMN?
• From Business Process Management (BPM) to Semantic
Business Process Management (SBPM)
Framework for Semantic Business
Process Management
An Example: Application of
Building Permit

Regulations: 7-page file
An Example: Application of
Building Permit
An Example: Application of
Building Permit

• Most important layer
– Simplify complex information of laws and regulations into common
practical terms
– Map the knowledge between domain field and data field
– Serve as a common source
Future work: create process ontologies
An Example: Application of
Building Permit
Conclusion and Future
Research
• Identified four possible semantic problems in the eGovernment in Switzerland
• Presented a framework that integrates semantic web
technology in BPMN in e-Government
• Future work required on the BPMN in e-Government by
creating new process ontologies in the semantic layer

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A Framework for Semantic Business Process Management in E-Government

  • 1. A FRAMEWORK SEMANTIC BUSINESS PROCESS MANAGEMENT IN E-GOVERNMENT Zhan Liu, Anne Le Calvé, Fabian Cretton, Florian Evéquoz and Elena Mugellini Institute of Business Information Systems University of Applied Sciences and Arts Western Switzerland HES-SO Valais, Sierre, Switzerland
  • 2. OVERVIEW • Who Are We ? • Introduction • Semantic Problems for E-Government in Switzerland • Semantic Business Process Management in EGovernment • Framework for Semantic Business Process Management • Conclusion and Future Research
  • 3. Who Are We ? • 70 members of staff – – – – 20 Professors 15 Research scientists 27 Research assistants 8 Administrative collaborators and interns • 240 projects – 2012 10% Turnover in 2012 • CHF 7.243 millions Ra&D – Turnover in 2012 90% Consulting services
  • 4. Our Core Competencies eEnergy eGov eHealth ERP eServices BPM Cloud Computing Data Intelligence Ergonomy, Usability Intelligent Agents Internet of Things Medical Information Processing Semantic Web Software Engineering
  • 5. Introduction • New challenges in today’s government issues •  Business Process Management •  + Semantic Web Technologies
  • 6. Motivation • Switzerland: a special case » Small, But… – – – – Very diversified (26 cantons and 2,551 communes) Higher level of freedom to make decisions independently Four national languages (German, French, Italian, Romansh) International organizations and foreigners However, little is known about the possible integrations of semantic web technologies in business process management in e-Government
  • 7. Research Question How could semantic web technology improve business processes management in an e-Government context in Switzerland ?
  • 8. Semantic Problems 1. the way information is presented and accessed 2. the inconsistencies of semantic information among different agencies 3. poor Change Management in e-government business processes 4. poor Process Management
  • 9. E-Government in CH • In early 2007, the Swiss Federal Council adopted a national e-Government strategy. – “Framework Agreement”; “eCH white paper” • Centers of expertise for e-Government in Switzerland – E.g., eCH, BUAS, etc. • Official web portal, “national gateway”: www.ch.ch – Five languages: DE, FR, IT, RO and EN – However, not widely used by the public
  • 10. E-Government in CH – cont. • Now Switzerland adopts the uniform standard business process modeling notation (BPMN) version 2.0 • What is BPMN? • From Business Process Management (BPM) to Semantic Business Process Management (SBPM)
  • 11. Framework for Semantic Business Process Management
  • 12. An Example: Application of Building Permit Regulations: 7-page file
  • 13. An Example: Application of Building Permit
  • 14. An Example: Application of Building Permit • Most important layer – Simplify complex information of laws and regulations into common practical terms – Map the knowledge between domain field and data field – Serve as a common source Future work: create process ontologies
  • 15. An Example: Application of Building Permit
  • 16. Conclusion and Future Research • Identified four possible semantic problems in the eGovernment in Switzerland • Presented a framework that integrates semantic web technology in BPMN in e-Government • Future work required on the BPMN in e-Government by creating new process ontologies in the semantic layer