Generating Value from Government Data Using AI: An Exploratory Study

Open government data initiatives have gained popularity around the world. Artificial Intelligence (AI) has the potential to make better use of data. Combining the OGD and AI is crucial to generate more value from data. In this paper we investigate what ki

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Gabriela Viale Pereira · Marijn Janssen · Habin Lee · Ida Lindgren · Manuel Pedro Rodríguez Bolívar · Hans Jochen Scholl · Anneke Zuiderwijk (Eds.)

Electronic Government 19th IFIP WG 8.5 International Conference, EGOV 2020 Linköping, Sweden, August 31 – September 2, 2020 Proceedings

Lecture Notes in Computer Science Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA

Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA

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More information about this series at http://www.springer.com/series/7409

Gabriela Viale Pereira Marijn Janssen Habin Lee Ida Lindgren Manuel Pedro Rodríguez Bolívar Hans Jochen Scholl Anneke Zuiderwijk (Eds.) •











Electronic Government 19th IFIP WG 8.5 International Conference, EGOV 2020 Linköping, Sweden, August 31 – September 2, 2020 Proceedings

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Editors Gabriela Viale Pereira Danube University Krems Krems, Austria

Marijn Janssen Delft University of Technology Delft, The Netherlands

Habin Lee Brunel University London Uxbridge, UK

Ida Lindgren Linköping University Linköping, Sweden

Manuel Pedro Rodríguez Bolívar University of Granada Granada, Spain

Hans Jochen Scholl University of Washington Seattle, WA, USA

Anneke Zuiderwijk Delft University of Technology Delft, The Netherlands

ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-57598-4 ISBN 978-3-030-57599-1 (eBook) https://doi.org/10.1007/978-3-030-57599-1 LNCS Sublibrary: SL3 – Information Systems and Applications, incl. Internet/Web, and HCI © IFIP International Federation for Information Processing 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in p

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