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Electronic Government and the Information Systems Perspective [electronic resource] : 9th International Conference, EGOVIS 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings / edited by Andrea Kő, Enrico Francesconi, Gabriele Kotsis, A Min Tjoa, Ismail Khalil.

Medverkande: Materialtyp: TextSerie: Information Systems and Applications, incl. Internet/Web, and HCI ; 12394Utgivningsuppgift: Cham : Springer International Publishing : Imprint: Springer, 2020Utgåva: 1st ed. 2020Beskrivning: 1 online resource (X, 235 p. 56 illus.). 38 illus. in colorInnehållstyp:
  • text
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9783030589578
Ämnen: Fler format: Printed edition:: Ingen titel; Printed edition:: Ingen titelDDK-klassifikation:
  • 303.4834 23
Library of Congress (LC) klassifikationskod:
  • QA76.9.C66
Onlineresurser: I: Springer Nature eBookSammanfattning: This book constitutes the refereed proceedings of the 9th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2020, held in Bratislava, Slovakia, in September 2020. The 15 full and one short papers presented were carefully reviewed and selected from 24 submissions. The papers are organized in the following topical sections: Knowledge representation and modeling in e-Government; e-Government theoretical background; E-Government cases - data and knowledge management; identity management and legal issues; artificial intelligence and machine learning in e-Government context.
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This book constitutes the refereed proceedings of the 9th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2020, held in Bratislava, Slovakia, in September 2020. The 15 full and one short papers presented were carefully reviewed and selected from 24 submissions. The papers are organized in the following topical sections: Knowledge representation and modeling in e-Government; e-Government theoretical background; E-Government cases - data and knowledge management; identity management and legal issues; artificial intelligence and machine learning in e-Government context.

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