Knowledge Graphs and Semantic Web Second Iberoamerican Conferenc
This book constitutes the thoroughly refereed proceedings of the Second Iberoamerican Conference, KGSWC 2020, held in Mérida, Mexico, in November 2020. Due to the COVID-19 pandemic the conference was held online. The 15 papers presented were carefull
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ledge Graphs and Semantic Web Second Iberoamerican Conference and First Indo-American Conference, KGSWC 2020 Mérida, Mexico, November 26–27, 2020 Proceedings
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Communications in Computer and Information Science Editorial Board Members Joaquim Filipe Polytechnic Institute of Setúbal, Setúbal, Portugal Ashish Ghosh Indian Statistical Institute, Kolkata, India Raquel Oliveira Prates Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil Lizhu Zhou Tsinghua University, Beijing, China
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More information about this series at http://www.springer.com/series/7899
Boris Villazón-Terrazas Fernando Ortiz-Rodríguez Sanju M. Tiwari Shishir K. Shandilya (Eds.) •
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Knowledge Graphs and Semantic Web Second Iberoamerican Conference and First Indo-American Conference, KGSWC 2020 Mérida, Mexico, November 26–27, 2020 Proceedings
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Editors Boris Villazón-Terrazas Tinámica Madrid, Spain
Fernando Ortiz-Rodríguez Tamaulipas Autonomous University Ciudad Victoria, Mexico
Sanju M. Tiwari Tamaulipas Autonomous University Ciudad Victoria, Mexico
Shishir K. Shandilya VIT Bhopal University Bhopal, India
ISSN 1865-0929 ISSN 1865-0937 (electronic) Communications in Computer and Information Science ISBN 978-3-030-65383-5 ISBN 978-3-030-65384-2 (eBook) https://doi.org/10.1007/978-3-030-65384-2 © 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. 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 published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The importance of disseminating Artificial Intelligence (AI) practices on R&D are crucial for the future and economic development of developing countries. In this book, we particularly try to attract top-class research and practices in several fields of AI, such as knowledge representation and reasoning, natural
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