Skip to main content

Abstract

Ontologies will pave the way in boosting e-government in the years to come. First of all public administrations need to have a shared understanding of public services amongst different levels of administration (e.g. state, country, county) in order to offer administration independent one-stop e-government and most flexible service execution. When it comes to business process (re)engineering, a repository of reference models and best practices can keep down costs. In order to provide good governance, traceable compliance with regulations becomes more and more important. We first present a methodology for ontology building that is compatible with software project management in the public sector; then we combine semantically enhanced process modelling with business rules resulting in what we call agile process management.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The classification is taken from IDABC (Interoperable Delivery of European eGovernment Services to public Administrations, Businesses and Citizens) (Chevallerau, 2006)

  2. 2.

    OntoGov (Ontology Enabled E-Gov Service Configuration) is a project funded in the IST Programme of the European Union (IST-2004-27090). For further information consult http://www.ontogov.com/

  3. 3.

    The Swiss Federal Chancellery was a partner in the OntoGov consortium

  4. 4.

    Application here is understood as any kind of software developed to execute public services (using semantic technologies)

  5. 5.

    OWL: Web Ontology Language (McGuiness and vanHarmelen, 2004)

  6. 6.

    SWRL: Semantic Web Rule Language (Horrocks et al., 2004)

  7. 7.

    OWL-S: Web Ontology Language for Services (Martin, 2004)

  8. 8.

    Protégé is a free, open source ontology editor and knowledge-base framework (http://protege.stanford.edu).

  9. 9.

    Merriam Webster Online: Definition 4a: a term is a word or expression that has a precise meaning in some uses or is peculiar to a science, art, profession, or subject <legal terms>, URL: http://www.m-w.com/cgi-bin/dictionary

  10. 10.

    completeness is a criteria very difficult to prove (cp. (Gómez-Pérez, 2001))

  11. 11.

    The system is freely available and can be downloaded at http://sourceforge.net/projects/texttoonto/

  12. 12.

    An interesting topic for research is how term and fact modeling could be automated (as it is less formal) and how the semi-formal representation could then be used as input for automated ontology creation

  13. 13.

    The attributes “label”, “definition” and “date issued” are attributes, “source” and “creator” are defined as meta-data terms by the Dublin Core Metadata Initiative (2006)

  14. 14.

    In case the terms are extracted automatically this attributes can be created automatically, too

  15. 15.

    The interface is adapted from the FIT Buildtime for Adaptive Processes developed by BOC Asset Management (http://www.boc-eu.com) within the FIT project.

  16. 16.

    FIT (Fostering self-adaptive e-government service improvement using semantic technologies) is a project funded in the IST programme by the European Union (IST-2004-27090). For further information consult http://www.fit-project.org

  17. 17.

    An interchange format is a format that allows transformationen from one model to another without loss based on agreed standards.

  18. 18.

    For ontology modeling Protégé is taken; for graphical presentation the Ontoviz tab is activated

  19. 19.

    A comprehensive overview is given by the IOWA State University, Departement of Computer Science: http://www.cs.iastate.edu/˜baojie/acad/reference/2003-07-09_dataint.htm (Date 20-12-06)

  20. 20.

    For example: the public service “Anmelden/Abmelden” is performed by ne

  21. 21.

    http://www.fhvr-berlin.de/vc-gpm/ (information in German only).

  22. 22.

    The terms service and process differ in their coverage: whereas service comprises all aspects of e-government service provision a Public Administration has to offer, process is about the (IT-supported) tasks performed within a service.

  23. 23.

    A process model is composed of atomic processes and/or composite processes. An atomic process is defined as a non-decomposable process, e.g. in a process implementation with web-services it can be executed using a single call.

  24. 24.

    A business rule engine or inference engine is a software component that separates the business rules from the application code and allows deriving answers from a knowledge base.

  25. 25.

    “The workflow enactment software interprets the process description and controls the instantiation of processes and sequencing of activities, adding work items to the user work lists and invoking application tools asnecessary. This is done through one or more co-operating workflow management engines, which manage(s) the execution of individual instances of the various processes.” (TC00-1003 Issue 1.1 Workflow Reference, Workflow Management Coalition Page 14 of 14, URL: http://www.wfmc.org/standards/docs/tc003v11.pdf.

References

  • Abecker, A., A. Bernardi, K. Hinkelmann, O. Kühn, and M. Sintek. 1998. Toward a well-founded technology for organizational memories. IEEE Intelligent Systems and their Applications 13(3) S40–48, May/June 1998. Reprint in The Knowledge Management Yearbook 1999–2000, eds. J.W. Cortada, and J.A. Woods, 185–199. Boston: Butterworth-Heinemann.

    Article  Google Scholar 

  • Borst, P. 1997. Construction of engineering ontologies for knowledge sharing and reuse, Phd thesis, Enschede, The Netherlands: University of Twente. http://purl.org/utwente/fid/1392. Retrieved, 15 Dec 2006.

  • Business Rule Group. 2006. What is a business rule? http://www.businessrulesgroup.org/defnbrg.shtml. Retrieved, 05 Dec 2006.

  • Capgemini Consulting. 2006. Online availability of public services: How is europe progressing? Web Based Survey on Electronic Public Services, Report of the 6th Measurement, June 2006. http://www.capgemini.com/resources/thought_leadership/2006_online_availability_of_public_services/. Retrieved, 22 Dec 2006.

  • Chappel, O. 2006. Term–fact modeling, the key to successful rule-based systems. http://www.brcommunity.com/b250.php. Retrieved, 22 Nov 2006.

  • Conklin, J., and M. Begeman. 1998. gIBIS – A hypertext tool for exploratory policy discussion. In Proceedings of CSCW98, 140–152. Seattle, WA.

    Google Scholar 

  • Daconta, M. C., L.J. Oberst, and K.T. Smith. 2003. The semantic web. New York, NY: Wiley.

    Google Scholar 

  • Dublin Core Metadata Initiative. 2006. DCMI metadata terms. http://dublincore.org/documents/dcmi-terms/. Retrieved, 23 Dec 2006.

  • eCH. 2006. Best practice struktur prozessinventarliste. Standard Recommendation No. eCH-0015 of eCH eGovernment Standards. http://www.ech.ch/index.php?option=com_docman&task=doc_download&gid=326. Retrieved, 5 Jan 2007.

  • eCH. 2008. eCH-0049 Vernehmlassungseingaben Themenkatalog Privatpersonen. Standard Recommendation No. eCH-0049 plus addenda of eCH eGovernment Standards. http://ech.ch/index.php?option=com_docman&task=cat_view&gid=118&Itemid=181&lang=de. Retrieved, 01 Sep 2008.

  • Fernández-López, M., and A. Gómez-Pérez. 2003. Overview and analysis of methodologies for building ontologies. Cambridge Journals 17:129–156.

    Google Scholar 

  • Fernandez, M., A. Gomez-Perez, and N. Juristo. 1997. METHONTOLOGY: From ontological arts towards ontological engineering. In Proceedings of the AAAI-97 Spring Symposium Series on Ontological Engineering, 33–40. Stanford, CA.

    Google Scholar 

  • Fraser, J., N. Adams, A. Macintosh, A. McKay-Hubbard, T.P. Lobo, P.F. Pardo, R.C. Martínez, and J.S. Vallecillo. 2003. Knowledge management applied to egovernment services: The use of an ontology. Knowledge Management in Electronic Government: 4th IFIP International Working Conference, KMGov 2003, Rhodes, Greece, May 26–28, Procedings. Berlin/Heidelberg: Springer.

    Google Scholar 

  • Gandits, F., and R. Schaffer. 2006. Standardattribute für Leistungen und Leistungsgruppen. Recommendation of the Austrian e-Government Bund-Länder-Gemeinden. http://reference.e-government.gv.at/uploads/media/st-att-1-0-0-2004-0102.pdf. Retrieved, 05 Jan 2007.

  • Gómez-Pérez, A. 2001. Evaluating ontologies. http://www3.interscience.wiley.com/cgi-bin/fulltext/77002631/PDFSTART. Retrieved, 15 Dec 2006.

  • Gruber, T.R. 1993a. A translation approach to portable ontology specifications. Knowledge Acquisition 5(2):199–220.

    Article  Google Scholar 

  • Gruber, T.R. 1993b, Toward principles for the design of ontologies used for knowledge sharing. In Formal ontology in conceptual analysis and knowledge representation, eds. N. Guarino, and R. Poli, The Netherlands: Kluwer Academic Publishers. For download at, http://www2.umassd.edu/SWAgents/agentdocs/stanford/ontodesign.pdf. Retrieved, 05 Jan 2007.

    Google Scholar 

  • Grüninger, M., and M.S. Fox. 1995. Methodology for the design and evaluation of ontologies. http://www.eil.utoronto.ca/EIL/public/method.ps. Retrieved, 15 Dec 2006.

  • Gugliotta, A., V. Tanasescu, J. Domingue, R. Davies, L. Gutiérrez-Villarías, M. Rowlatt, M. Richardson, and S. Stinčić. 2006. Benefits and challenges of applying semantic web services in the e-Government domain. http://kmi.open.ac.uk/projects/dip/resources/Semantics2006/Semantics2006_DIP_Camera_Ready.pdf. Retrieved, 15 Dec 2006.

  • Gugliotta, A. 2006. Knowledge modelling for service-oriented applications in the e-Government domain. http://www.dimi.uniud.it/gugliott/thesisgugliotta.pdf. Retrieved, 15 Dec 2006.

  • Swiss Federal Strategy Unit for Information Technology FSUIT. 2004. HERMES – Management and execution of projects in information and communication technologies (ICT). http://www.hermes.admin.ch/ict_project_management/manualsutilities/manuals/hermes-foundations/at_download/file. Retrieved, 06 Jan 2007.

  • Hinkelmann, K., F. Probst, and B. Thönssen. 2006a. Reference modeling and lifecycle management for e-Government services. In eds. A. Abecker, A. Sheth, G. Mentzas, and L. Stojanovic, Semantic Web Meets e-Government, Papers from the 2006 AAAI Spring Symposium, AAAI Technical Report SS-06-06.

    Google Scholar 

  • Hinkelmann, K., F. Probst, and B. Thönssen. 2006b. Agile process management framework and methodology. In eds. A. Abecker, A. Sheth, G. Mentzas, and L. Stojanovic, Semantic Web Meets e-Government, Papers from the 2006 AAAI Spring Symposium, AAAI Technical Report SS-06-06.

    Google Scholar 

  • Horrocks, I., P. Patel-Schneider, H. Boley, S. Tabet, B. Grosof, and M. Dean. 2004. SWRL: A semantic web rule language, combining OWL and RuleML. http://www.w3.org/Submission/SWRL/. Retrieved, 08 Dec 2006.

  • Chevallerau, F.-X. 2005. eGovernment in the member states of the European Union, Brussels. http://europa.eu.int/idabc/egovo. Retrieved, 05 Jan 2007.

  • Kalfoglou, Y., and M. Schorlemmer. 2005. Ontology mapping: The state of the art. http://drops.dagstuhl.de/opus/volltexte/2005/40/pdf/04391.KalfoglouYannis.Paper.40.pdf. Retrieved, 25 Dec 2006.

  • Kunz, W., and H.W.J. Rittel. 1970. Issues as elements of information systems. WP-131, University of California. http://www-iurd.ced.berkeley.edu/pub/WP-131.pdf. Retrieved, 5 Dec 2005.

  • Macias, J.A., and P. Castells. 2004. Providing end-user facilities to simplify ontology-driven web application authoring. Interacting with Computers 19(4):563–585, July 2007.

    Article  Google Scholar 

  • Maedche, A., and S. Staab. 2004. Ontology learning. In Handbook on ontologies, eds. S. Staab, and R. Studer, 173–189. New York, NY: Springer.

    Google Scholar 

  • McGuinness, D.L., and F. van Harmelen, eds. 2004. OWL web ontology language overview: W3C Recommendation 10 Feb 2004. http://www.w3.org/TR/owl-features/. Retrieved, 15 Dec 2006.

  • Noy, N.F., and D.L. McGuinness. 2002. Ontology development 101: A guide to creating your first ontology. http://protege.stanford.edu/publications/ontology_development/ontology101.pdf. Retrieved, 15 Dec 2006.

  • Martin, D., ed. 2004. OWL-S: Semantic markup for web services. W3C Member Submission 22 Nov 2004. http://www.w3.org/Submission/OWL-S/. Retrieved, 06 Jan 2007.

  • Peristeras, V., and K. Tarabanis. 2006. Reengineering public administration through semantic technologies and the GEA domain ontology. AAAI Spring Symposium on Semantic Web Meets e-Government, Stanford University, March 2006. http://www.semantic-gov.org/index.php?name=UpDownload&req=getit&lid=1. Retrieved, 15 Dec 2006.

  • Pinto, H.S., and J.P. Martins. 2002. Evolving ontologies in distributed and dynamic settings. In Proceedings of the 8th International Conference on Principles of Knowledge Representation and Reasoning (KR2002), eds. D. Fensel, F. Giunchiglia, D.L. McGuiness, M.A. Williams, San Francisco, CA: Morgan Kaufmann.

    Google Scholar 

  • Pinto, H.S., and J.P. Martins. 2004. Ontologies: How can they be built? Knowledge and Information Systems, Computer Science, 6(4). http://springerlink.metapress.com/content/0p5yqrdh5t5dvd06/fulltext.pdf. Retrieved, 16 Dec 2006.

  • Schreiber, G., H. Akkermans, A. Anjewierden, R. de Hoog, N. Shadbolt, W. Van de Velde, and B. Wielinga. 1999. Knowledge engineering and management: The CommonKADS methodology. Cambridge, MA: MITPress.

    Google Scholar 

  • Stojanovic, L., A. Abecker, D. Apostolou, G. Mentzas, and R. Studer. 2006. The role of semantics in eGov service model verification and evolution. AAAI Spring Symposium on Semantic Web Meets e-Government, Stanford University, March 2006.

    Google Scholar 

  • Sure, Y., M. Erdmann, J. Angele, S. Staab, R. Studer, and D. Wenke. 2002. OntoEdit: Collaborative ontolgy development for the semantic web. In International Semantic Web Conference ISWC 2002, LNCS 2342, eds. I. Horrocks, and J. Hendler, 221–235. Heidelberg: Springer. http://www.aifb.unikarlsruhe.de/WBS/ysu/publications/2002_iswc_ontoedit.pdf. Retrieved, 15 Dec 2006.

    Google Scholar 

  • Uschold, M., M. King, S. Moralee, and Y. Zorgios. 1998. The enterprise ontology. Cambridge Journals 13:31–98.

    Google Scholar 

  • Uschold, M. 1996. Building ontologies: towards a unified methodology. Proceedings of Expert Systems 96, Cambridge, Dec 16–18 1996.

    Google Scholar 

  • Von Halle, B. 2002. Business rules applied, building better systems using the business rules approach, New York, NY: Wiley.

    Google Scholar 

  • Wimmer, M., and E. Tambouris. 2002. Online one-stop government: A working framework and requirements. In Proceedings of the IFIP World Computer Congress, Montreal, Aug 26–30 2002.

    Google Scholar 

  • A. Wroe. 2006. TERREGOV white paper: Semantic based support to civil servants. http://www.terregov.eupm.net/my_spip/index.php?param=12. Retrieved, 15 Dec 2006.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Knut Hinkelmann .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Netherlands

About this chapter

Cite this chapter

Hinkelmann, K., Thönssen, B., Wolff, D. (2010). Ontologies for E-government. In: Poli, R., Healy, M., Kameas, A. (eds) Theory and Applications of Ontology: Computer Applications. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8847-5_19

Download citation

Publish with us

Policies and ethics