TY  - BOOK
AU  - Kő,Andrea
AU  - Francesconi,Enrico
AU  - Kotsis,Gabriele
AU  - Tjoa,A.Min
AU  - Khalil,Ismail
ED  - EGOVIS (Conference)
TI  - Electronic Government and the Information Systems Perspective: 9th International Conference, EGOVIS 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings 
T2  - Lecture notes in computer science
SN  - 9783030589578
AV  - QA76.9.C66 E36 2020eb
U1  - 004 23
PY  - 2020///
CY  - Cham
PB  - Springer
KW  - Electronic government information
KW  - Congresses
KW  - Internet in public administration
KW  - Disclosure of information
KW  - Political planning
KW  - Citizen participation
KW  - Administration publique en ligne
KW  - Congrès
KW  - Divulgation d'informations
KW  - Politique publique
KW  - Participation des citoyens
KW  - Artificial intelligence
KW  - bicssc
KW  - Computer networking & communications
KW  - Information technology: general issues
KW  - Ethical & social aspects of IT
KW  - Computers
KW  - Intelligence (AI) & Semantics
KW  - bisacsh
KW  - Online Services
KW  - General
KW  - Networking
KW  - Social Aspects
KW  - Human-Computer Interaction
KW  - fast
KW  - Congress
KW  - proceedings (reports)
KW  - aat
KW  - Conference papers and proceedings
KW  - lcgft
KW  - Actes de congrès
KW  - rvmgf
N1  - 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
N2  - 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
UR  - https://link.springer.com/10.1007/978-3-030-58957-8
ER  -