Electronic Government and the Information Systems Perspective

12th International Conference, EGOVIS 2023, Penang, Malaysia, August 28-30, 2023, Proceedings
1. Auflage 2023
ISBN: 978-3-031-39840-7
Verlag: Springer

Buch, Englisch, Band 14149, 139 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 242 g

Reihe: Lecture Notes in Computer Science

This book constitutes the proceedings of the 12th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2023, which took place in Penang, Malaysia, during August 28-30, 2023.

The 8 full papers presented together with 1 short paper were carefully reviewed and selected from a total of 17 submissions.

They were organized in topical sections as follows: e-Government; strategy; artificial intelligence.

Zielgruppe

Research

Autoren/Hrsg.

Kö, Andrea

Francesconi, Enrico

Asemi, Adeleh

Kotsis, Gabriele

Tjoa, A Min

Khalil, Ismail

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Sozialwissenschaften Politikwissenschaft Regierungspolitik

Inhaltsverzeichnis

e-Government.- NSFASonto: An Ontology for South African National Student Financial Aid Scheme Operations.- The Utilization of Public-Private Partnership Frameworks in the Management of eID Projects.- Strategy .- O ntoSBehaviour: An Ontology of Students’ Behaviours at Institutions of Higher Learning.- Public Health Data and International Privacy Rules and Practices: A Case Study of Singapore.- Sentiment Analysis Application in E-Commerce Current Models and Future Directions.- Artificial Intelligence .- Evolving Justice Sector: An Innovative Proposal for Introducing AI-based Techniques in Court Offices.- Ontology-Driven Parliamentary Analytics: Analysing Political Debates on COVID-19 Impact in Canada.- Hybrid AI Analysis of the drug micro-trafficking in Italy.- Exploring the Potential of AI & MDL for Enhancing E-Government Services: A review paper.