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Electronic Government and the Information Systems Perspective : 9th International Conference, EGOVIS 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings / Andrea Kő, Enrico Francesconi, Gabriele Kotsis, A Min Tjoa, Ismail Khalil (eds.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 12394. | LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.Publication details: Cham : Springer, 2020.Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030589578
  • 3030589579
Other title:
  • EGOVIS 2020
Subject(s): Genre/Form: Additional physical formats: Print version:: Electronic Government and the Information Systems Perspective.DDC classification:
  • 004 23
LOC classification:
  • QA76.9.C66 E36 2020eb
Online resources: Summary: 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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International conference proceedings.

"The 9th International Conference on Electronic Government and the Information Systems Perspective (EGOVIS 2020), took place online in the time zone of Bratislava, Slovakia, during September 14-17, 2020"--Preface

Included author index.

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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