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Electronic Government and the Information Systems Perspective: 9th International Conference, EGOVIS 2020, Bratislava, Slovakia, September 1417, 2020, Proceedings 1st ed. 2020 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 235 pages, height x width: 235x155 mm, weight: 454 g, 38 Illustrations, color; 18 Illustrations, black and white; X, 235 p. 56 illus., 38 illus. in color., 1 Paperback / softback
  • Sērija : Information Systems and Applications, incl. Internet/Web, and HCI 12394
  • Izdošanas datums: 06-Sep-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030589560
  • ISBN-13: 9783030589561
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Electronic Government and the Information Systems Perspective: 9th International Conference, EGOVIS 2020, Bratislava, Slovakia, September 1417, 2020, Proceedings 1st ed. 2020Palielināt
  • Formāts: Paperback / softback, 235 pages, height x width: 235x155 mm, weight: 454 g, 38 Illustrations, color; 18 Illustrations, black and white; X, 235 p. 56 illus., 38 illus. in color., 1 Paperback / softback
  • Sērija : Information Systems and Applications, incl. Internet/Web, and HCI 12394
  • Izdošanas datums: 06-Sep-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030589560
  • ISBN-13: 9783030589561
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783030589561.html
Keywords:
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.
Knowledge Representation and Modeling in e-Government
Hybrid Refining Approach of PrOnto Ontology
3(15)
Monica Palmirani
Giorgia Bincoletto
Valentina Leone
Salvatore Sapienza
Francesco Sovrano
Ranking E-government Ontologies on the Semantic Web
18(13)
Jean Vincent Fonou-Dombeu
Framework for Data Analysis in the Context of the Smart Villages
31(18)
Jorge Martinez-Gil
Mario Pichler
Muhamed Turkanovic
Tina Beranic
Mitja Gradisnik
Gianluca Lentini
Alessandro Lite
Alberto Colorni Vitale
Guillaume Doukhan
Claire Belet
e-Government Theoretical Background
A Conceptual Proposal for Responsible Innovation
49(15)
Thais Assis de Souza
Rodrigo Marcal Gandia
Bruna Habib Cavazza
Andre Grutzmann
Isabelle Nicolai
Towards a Process Based Approach to Address Investment Inefficiencies in Digitalization
64(14)
Domonkos Caspar
Katalin Ternai
Event-Centric Microservices for E-states
78(13)
Dimitrios Tourgaidis
Alexandros Karakasidis
E-Government Cases - Data and Knowledge Management
Data Acquisition for Integrated Coastal Zone Management and Planning in a Climate Change Perspective
91(15)
Lone S. Hendriksen
Henning Sten Hansen
Lars Stenseng
Enabling Collaboration Among Cultural Heritage Experts and Maritime Spatial Planners
106(15)
Lise Schroder
Marina Georgati
Henning Sten Hansen
Exploring Usability and Acceptance Factors of m-Government Systems for Elderly
121(14)
Tamas Molnar
Andrea Ko
Towards Evidence-Based, Data-Driven Thinking in Higher Education
135(12)
Agnes Meleg
Reka Vas
Identity Management and Legal Issues
Using Two-Factor Dynamic Handwritten Signature Verification Authentication of Electronic Legal Statements by a Trust Service Provider
147(12)
Peter Jozsef Kiss
Gabor Klimko
Analyzing eID Public Acceptance and User Preferences for Current Authentication Options in Estonia
159(15)
Valentyna Tsap
Silvia Lips
Dirk Draheim
Political Parties and Internet Voting System Adoption in Ghana
174(15)
Samuel Agbesi
Artificial Intelligence and Machine Learning in e-Government Context
A Process Model for Generating and Evaluating Ideas: The Use of Machine Learning and Visual Analytics to Support Idea Mining
189(15)
Workneh Y. Ayele
Gustaf Juell-Skielse
Machine Learning or Expert Systems that Is the Question, Which Is to Be Used by a Public Administration
204(15)
Ivan Futo
Modelling GDPR-Compliant Explanations for Trustworthy AI
219(16)
Francesco Sovrano
Fabio Vitali
Monica Palmirani
Author Index 235