Electronic Government and the Information Systems Perspective 11th International Conference, EGOVIS 2022, Vienna, Austria, August 22-24, 2022, Proceedings / [electronic resource] : edited by Andrea Kő, Enrico Francesconi, Gabriele Kotsis, A Min Tjoa, Ismail Khalil. - 1st ed. 2022. - IX, 163 p. 42 illus., 28 illus. in color. online resource. - Lecture Notes in Computer Science, 13429 1611-3349 ; . - Lecture Notes in Computer Science, 13429 .

e-Government theoretical background -- Notions of Fairness in Automated Decision Making: An Interdisciplinary approach to Open Issues -- Object Relational Mapping vs. Event-Sourcing: Systematic review -- Foundation Models in Healthcare: Opportunities, Biases and Regulatory Prospects in Europe -- Semantic technologies and legal issues 4. Towards a method for the formulation of an EGOV strategy considering International Rankings -- Semantic Annotation of Parliamentary Debates and Legislative Intelligence Enhancing Citizen Experience -- Can the GDPR Allay Privacy Concerns Towards Smart Products? The Effect of a Compliance Seal on Perceived Data Security, Trust, and Intention to Use -- Artificial Intelligence and Machine Learning in E-Government Context -- Comparative analysis of classification algorithms applied to circular trading prediction scenarios -- Hybrid AI to Support the Implementation of the European Directive -- Derogations Analysis of European Legislation through Hybrid AI Approach -- Good Practices of User Experience and Design Research for Mobile and Electronic Governmental Services -- Smart solutions in AgriTech: Research Trajectories in the Digital Transition.

This volume LNCS 12429 constitutes the papers of the 11th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 20221, held in Vienna, Austria, in August 2022. The 11 full papers presented were carefully reviewed and selected from 16 submissions and focus on information systems and ICT aspects of e-government. The papers are organized in 3 topical sections: e-government theoretical background; semantic technologies and legal issues;; artificial intelligence and machine learning in e-government context.

9783031126734

10.1007/978-3-031-12673-4 doi


Political science.
Quantitative research.
Computers and civilization.
Application software.
Governance and Government.
Data Analysis and Big Data.
Computers and Society.
Computer and Information Systems Applications.

JF20-2112

320.4