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Knowledge Engineering and Knowledge Management

EKAW 2016 Satellite Events, EKM and Drift-an-LOD, Bologna, Italy, November 19–23, 2016, Revised Selected Papers

  • Paolo Ciancarini
  • Francesco Poggi
  • Matthew Horridge
  • Jun Zhao
  • Tudor Groza
  • Mari Carmen Suarez-Figueroa
  • Mathieu d'Aquin
  • Valentina Presutti

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10180)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10180)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Tutorial

    1. Front Matter
      Pages 1-1
    2. Anastasia Dimou, Pieter Heyvaert, Ruben Taelman, Ruben Verborgh
      Pages 3-14
  3. First Workshop on Detection, Representation and Management of Concept Drift in Linked Open Data: Report of the Drift-a-LOD2016 Workshop

    1. Front Matter
      Pages 15-18
    2. Gabriel Recchia, Ewan Jones, Paul Nulty, John Regan, Peter de Bolla
      Pages 19-28
    3. Thanos G. Stavropoulos, Stelios Andreadis, Efstratios Kontopoulos, Marina Riga, Panagiotis Mitzias, Ioannis Kompatsiaris
      Pages 29-39
    4. Astrid van Aggelen, Laura Hollink, Jacco van Ossenbruggen
      Pages 40-49
  4. Second International Workshop on Educational Knowledge Management (EKM 2016)

    1. Front Matter
      Pages 51-54
    2. Elsa Cardoso, Diogo Santos, Daniela Costa, Filipe Caçador, António Antunes, Rita Ramos
      Pages 55-68
    3. Inaya Lahoud, Fatma Chamekh
      Pages 69-81
    4. Oscar Rodríguez Rocha, Catherine Faron Zucker, Geraud Fokou Pelap
      Pages 82-94
  5. Posters and Demos

    1. Front Matter
      Pages 95-95
    2. Helbert Arenas, Nathalie Aussenac-Gilles, Catherine Comparot, Cassia Trojahn
      Pages 97-100
    3. Luigi Asprino, Valentina Presutti, Aldo Gangemi
      Pages 101-104
    4. Khadim Dramé, Grégory Smits, Olivier Pivert
      Pages 105-108
    5. Luca Ferrari, Marco Mesiti, Stefano Valtolina
      Pages 109-113
    6. Erik Faessler, Friederike Klan, Alsayed Algergawy, Birgitta König-Ries, Udo Hahn
      Pages 114-118
    7. José M. Giménez-García, Antoine Zimmermann, Pierre Maret
      Pages 119-122
    8. Anna Goy, Diego Magro, Marco Rovera
      Pages 123-126
    9. Edmond Jajaga, Lule Ahmedi, Figene Ahmedi
      Pages 127-130
    10. Maxime Lefrançois, Antoine Zimmermann, Noorani Bakerally
      Pages 131-135
    11. Pasquale Lisena, Raphaël Troncy
      Pages 136-139
    12. Pierre Maillot, Sébastien Ferré, Peggy Cellier, Mireille Ducassé, Franck Partouche
      Pages 140-144
    13. Mélissa Mary, Lina Soualmia, Xavier Gansel
      Pages 145-148
    14. Nandana Mihindukulasooriya, Raúl García-Castro, Asunción Gómez-Pérez
      Pages 149-152
    15. Andreas Moßburger, Harald Beck, Minh Dao-Tran, Thomas Eiter
      Pages 153-157
    16. Silvio Peroni, David Shotton, Fabio Vitali
      Pages 162-166
    17. Rashedur Rahman, Brigitte Grau, Sophie Rosset
      Pages 167-171
    18. Fabrizio Riguzzi, Riccardo Zese, Giuseppe Cota
      Pages 172-175
    19. Tomasz Sosnowski, Jedrzej Potoniec
      Pages 180-183
    20. Tomasz Sosnowski, Jedrzej Potoniec, Agnieszka Ławrynowicz
      Pages 184-187
    21. Ruben Taelman, Ruben Verborgh, Erik Mannens
      Pages 188-192
    22. Ilaria Tiddi, Emanuele Bastianelli, Enrico Daga, Mathieu d’Aquin
      Pages 193-197
    23. Zhemin Zhu, Saber A. Akhondi, Umesh Nandal, Marius Doornenbal, Michelle Gregory
      Pages 198-201
  6. Doctoral Consortium

  7. Back Matter
    Pages 287-288

Other volumes

  1. 20th International Conference, EKAW 2016, Bologna, Italy, November 19-23, 2016, Proceedings
  2. Knowledge Engineering and Knowledge Management
    EKAW 2016 Satellite Events, EKM and Drift-an-LOD, Bologna, Italy, November 19–23, 2016, Revised Selected Papers

About these proceedings

Introduction

This book contains the best selected papers of two Satellite Events held at the 20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016, in November 2016 in Bologna, Italy: The Second International Workshop on Educational Knowledge Management, EKM 2016, and the First Workshop: Detection, Representation and Management of Concept Drift in Linked Open Data, Drift-an-LOD 2016. 

The 6 revised full papers included in this volume were carefully reviewed and selected from the 13 full papers that were accepted for presentation at the conference from the initial 82 submissions.  This volume also contains the 37 accepted contributions for the EKAW 2016 tutorials, demo and poster sessions, and the doctoral consortium. The special focus of this year's EKAW was "evolving knowledge", which concerns all aspects of the management and acquisition of knowledge representations of evolving, contextual, and local models. This includes change management, trend detection, model evolution, streaming data and stream reasoning, event processing, time-and space dependent models, contextual and local knowledge representations with a special emphasis on the evolvability and localization of knowledge and the correct usage of these limits.

Keywords

automated reasoning data mining internet of things machine learning ontologies applied computing business intelligence computing methodologies document classification expert system geospatial semantics knowledge representation and reasoning linked open data natural language processing quality assessment recommender system semantic Web sentiment analysis text mining user interaction

Editors and affiliations

  • Paolo Ciancarini
    • 1
  • Francesco Poggi
    • 2
  • Matthew Horridge
    • 3
  • Jun Zhao
    • 4
  • Tudor Groza
    • 5
  • Mari Carmen Suarez-Figueroa
    • 6
  • Mathieu d'Aquin
    • 7
  • Valentina Presutti
    • 8
  1. 1.University of Bologna BolognaItaly
  2. 2.University of Bologna BolognaItaly
  3. 3.Stanford University Palo AltoUSA
  4. 4.Lancaster University LancasterUnited Kingdom
  5. 5.Garvan Institute of Medical Research DarlinghurstAustralia
  6. 6.Universidad Politecnica de Madrid Boadilla del MonteSpain
  7. 7.The Open University Milton KeynesUnited Kingdom
  8. 8.STLab ISTC-CNR RomeItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-58694-6
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-58693-9
  • Online ISBN 978-3-319-58694-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site