Electronic Government and the Information Systems Perspective [electronic resource] : 7th International Conference, EGOVIS 2018, Regensburg, Germany, September 3-5, 2018, Proceedings / edited by Andrea Kő, Enrico Francesconi.
Contributor(s): Kő, Andrea [editor.] | Francesconi, Enrico [editor.] | SpringerLink (Online service).
Material type: BookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 11032Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XI, 271 p. 44 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319983493.Subject(s): Computers and civilization | Application software | Coding theory | Information theory | Electronic commerce | Computers -- Law and legislation | Information technology -- Law and legislation | Computers and Society | Computer and Information Systems Applications | Coding and Information Theory | e-Commerce and e-Business | Legal Aspects of ComputingAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 303.4834 Online resources: Click here to access onlineDigitalization and transparency -- Challenges in e-government technology and e-voting -- Knowledge management in the context of e-government -- Semantic technologies and the legal aspects -- Open data and open innovation -- e-Government cases - data and knowledge management.
This book constitutes the refereed proceedings of the 7th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2018, held in Regensburg, Germany, in September 2018. The 19 revised full papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in the following topical sections: digitalization and transparency; challenges in e-government technology and e-voting; knowledge management in the context of e-government; semantic technologies and the legal aspects; open data and open innovation; and e-government cases - data and knowledge management.
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