Semantic Web Techniques for Personalization of eGovernment Services

  • Fabio Grandi
  • Federica Mandreoli
  • Riccardo Martoglia
  • Enrico Ronchetti
  • Maria Rita Scalas
  • Paolo Tiberio
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4231)


In this paper, we present the results of an ongoing research involving the design and implementation of systems supporting personalized access to multi-version resources in an eGovernment scenario. Personalization is supported by means of Semantic Web techniques and is based on an ontology-based profiling of users (citizens). Resources we consider are collections of norm documents in XML format but can also be generic Web pages and portals or eGovernment services. We introduce a reference infrastructure, describe the organization and present performance figures of a prototype system we have developed.


Norm Text Digital Identity eGovernment Service Query Execution Time Semantic Versioning 
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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Fabio Grandi
    • 1
  • Federica Mandreoli
    • 2
  • Riccardo Martoglia
    • 2
  • Enrico Ronchetti
    • 2
  • Maria Rita Scalas
    • 1
  • Paolo Tiberio
    • 2
  1. 1.Dipartimento di Elettronica, Informatica e SistemisticaAlma Mater Studiorum – Università di BolognaItaly
  2. 2.Dipartimento di Ingegneria dell’Informazione, ModenaUniversità di Modena e Reggio EmiliaItaly

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