Assessing the Quality of RDF Mappings with EvaMap
Linked Data (LD) is a set of best practices to publish reusable data on the web in RDF format. Despite the benefits of LD, many datasets are not published as RDF. Transforming structured datasets into RDF datasets is possible thanks to RDF Mappings. But,
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Andreas Harth · Valentina Presutti · Raphaël Troncy · Maribel Acosta · Axel Polleres · Javier D. Fernández · Josiane Xavier Parreira · Olaf Hartig · Katja Hose · Michael Cochez (Eds.)
The Semantic Web: ESWC 2020 Satellite Events ESWC 2020 Satellite Events Heraklion, Crete, Greece, May 31 – June 4, 2020 Revised Selected Papers
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
Andreas Harth Valentina Presutti Raphaël Troncy Maribel Acosta Axel Polleres Javier D. Fernández Josiane Xavier Parreira Olaf Hartig Katja Hose Michael Cochez (Eds.) •
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The Semantic Web: ESWC 2020 Satellite Events ESWC 2020 Satellite Events Heraklion, Crete, Greece, May 31 – June 4, 2020 Revised Selected Papers
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Editors Andreas Harth University of Erlangen-Nuremberg Nuremberg, Germany
Valentina Presutti National Research Council Rome, Italy
Raphaël Troncy Eurecom Sophia Antipolis, France
Maribel Acosta Karlsruhe Institute of Technology Karlsruhe, Germany
Axel Polleres Institute for Information Business at WU Wien Vienna, Austria
Javier D. Fernández Institute for Information Business at WU Wien Vienna, Austria
Josiane Xavier Parreira Siemens AG Österreich Vienna, Austria
Olaf Hartig Linköping University Linköping, Sweden
Katja Hose Aalborg University Aalborg, Denmark
Michael Cochez Vrije Universiteit Amsterdam Amsterdam, The Netherlands
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-62326-5 ISBN 978-3-030-62327-2 (eBook) https://doi.org/10.1007/978-3-030-62327-2 LNCS Sublibrary: SL3 – Information Systems and Applications, incl. Internet/Web, and HCI © Springer Nature Switzerland AG 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. N
