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Fostering self-adaptive e-government service improvement using semantic technologies

Dimension Wert
  • Personalaufwand
  • Keine Angabe
  • Fördernde Institutionen
  • Multinationale staatliche Förderung
    • EU
Projektansprechpartner: Simon Robinson

Fostering self-adaptive e-government service improvement using semantic technologies (FIT)


Das Projekt FIT entwickelt basierend auf semantischen Technologien ein sich selbst-adaptierendes E-Government-Framework zur Personalsierung von Verwaltungsdienstleistungen.


"For e-government initiatives to succeed, public services should be organised in a way to serve every citizen individually. Since citizens pose different access possibilities, skills and motivation, service delivery should be tailored to the widest possible end-user population. This adaptivity means that all citizens have access to the public services in a manner which is enabling and satisfying. It requires not only the personalized service delivery, but more important the extension of the service description by including dynamically changing citizens' needs. The overall objective of FIT is to develop, test and validate a self-adaptive e-government framework based on semantic technologies that will ensure that the quality of public services is proactively and continually fitted to the changing preferences and increasing expectations of e-citizens. FIT aims to:

  • Create a conceptual framework for realizing self-adaptive e-government (i) by taking into account users needs, domain knowledge and semantic descriptions of existing administrative processes and (ii) through ensuring continually improved services delivery, detecting new services and context-aware restructuring of existing services
  • Increase citizens' satisfaction by providing an intelligent and personalized front office through dynamically eliciting preferences of every user and proactive provision of context-sensitive and customized services/ information
  • Increase the adaptivity of the back office through semantic modelling of customizable administrative processes and embedding these models in the daily work
  • Enable knowledge sharing between front offices through semantic modelling of front offices best practice and efficient transferring of shared experiences to other front offices
  • Pilot and evaluate the FIT platform in three public administrations in three different European countries. The evaluation of the project results will take into account technical, organisational and social aspects"

(Quelle: http://cordis.europa.eu/search/index.cfm?fuseaction=proj.document&PJ_LAN...)


This project was described byMarlen Jurisch (24. Februar 2011 - 14:16)
Dieses Projekt wurde zuletzt bearbeitet von: Marlen Jurisch (17. November 2011 - 14:18)

Weitere Informationen

Dieses Projekt ist an den folgenden Forschungsergebnissen beteiligt.