Abstract
Similarities and differences between large companies and e-government data management are discussed. The major issue of e-government systems is the human face, i.e. the citizen-administration dialog. Openness vs. individual and administration procedure security are delicate legal and technological problems. A regional experiment is reviewed that applies three languages: natural language of the citizen, formal one of the administration and quasi-natural one of the dialog. Natural language understanding is a special feature using subject-oriented closed-world vocabularies and scenarios. The combination provides a decision support especially dedicated to the citizen.
The project was supported by NRDP Grant No. OM-00510/2001
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-3-540-35127-6_28
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Vámos, T., Soós, I. (2003). Data Management and AI in E-government. In: Wimmer, M.A. (eds) Knowledge Management in Electronic Government. KMGov 2003. Lecture Notes in Computer Science, vol 2645. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44836-5_24
Download citation
DOI: https://doi.org/10.1007/3-540-44836-5_24
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40145-2
Online ISBN: 978-3-540-44836-5
eBook Packages: Springer Book Archive