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  • Conference proceedings
  • © 2020

Knowledge Engineering and Knowledge Management

22nd International Conference, EKAW 2020, Bolzano, Italy, September 16–20, 2020, Proceedings

Editors:

  1. C. Maria Keet

    1. University of Cape Town, Cape Town, South Africa

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    You can also search for this editor in PubMed   Google Scholar

  2. Michel Dumontier

    1. Institute of Data Science, Maastricht University, Maastricht, The Netherlands

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12387)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): EKAW: International Conference on Knowledge Engineering and Knowledge Management

Conference proceedings info: EKAW 2020.

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Table of contents (19 papers)

  1. Front Matter

    Pages i-xii
    PDF

  2. Research Papers

    1. Front Matter

      Pages 1-1
      PDF

    4. Capturing and Querying Uncertainty in RDF Stream Processing

      • Robin Keskisärkkä, Eva Blomqvist, Leili Lind, Olaf Hartig
      Pages 37-53

    5. Effective Use of Personal Health Records to Support Emergency Services

      • Alba Catalina Morales Tirado, Enrico Daga, Enrico Motta
      Pages 54-70

    10. Entity-Based Short Text Classification Using Convolutional Neural Networks

      • Mehwish Alam, Qingyuan Bie, Rima Türker, Harald Sack
      Pages 136-146

    12. Mining Latent Features of Knowledge Graphs for Predicting Missing Relations

      • Tobias Weller, Tobias Dillig, Maribel Acosta, York Sure-Vetter
      Pages 158-170

    13. Comp-O: An OWL-S Extension for Composite Service Description

      • Grégory Alary, Nathalie Hernandez, Jean-Paul Arcangeli, Sylvie Trouilhet, Jean-Michel Bruel
      Pages 171-182

    14. Perceptron Connectives in Knowledge Representation

      • Pietro Galliani, Guendalina Righetti, Oliver Kutz, Daniele Porello, Nicolas Troquard
      Pages 183-193

    15. On the Formal Representation and Annotation of Cellular Genealogies

      • Patryk Burek, Nico Scherf, Heinrich Herre
      Pages 194-203

    16. Task-Oriented Uncertainty Evaluation for Linked Data Based on Graph Interlinks

      • Ahmed El Amine Djebri, Andrea G. B. Tettamanzi, Fabien Gandon
      Pages 204-215

  3. In Use Papers

    1. Front Matter

      Pages 217-217
      PDF

    2. ResearchFlow: Understanding the Knowledge Flow Between Academia and Industry

      • Angelo Salatino, Francesco Osborne, Enrico Motta
      Pages 219-236

    3. A Knowledge Graph Enhanced Learner Model to Predict Outcomes to Questions in the Medical Field

      • Antonia Ettorre, Oscar Rocha Rodríguez, Catherine Faron, Franck Michel, Fabien Gandon
      Pages 237-251
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About this book

This book constitutes the refereed proceedings of the 22nd International Conference on Knowledge Engineering and Knowledge Management, EKAW 2020, held in Bolzano, Italy, in September 2020. The 12 full papers presented together with 7  were carefully reviewed and selected from 104 submissions.  The special theme of EKAW 2020 is „Ethical and Trustworthy Knowledge Engineering". The papers cover all aspects of eliciting, acquiring, discovering, modeling, and managing knowledge and construction of knowledge-intensive systems.
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Keywords

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Editors and Affiliations

  • University of Cape Town, Cape Town, South Africa

    C. Maria Keet

  • Institute of Data Science, Maastricht University, Maastricht, The Netherlands

    Michel Dumontier

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Bibliographic Information

  • Book Title: Knowledge Engineering and Knowledge Management

  • Book Subtitle: 22nd International Conference, EKAW 2020, Bolzano, Italy, September 16–20, 2020, Proceedings

  • Editors: C. Maria Keet, Michel Dumontier

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-61244-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-61243-6Published: 27 October 2020

  • eBook ISBN: 978-3-030-61244-3Published: 26 October 2020

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 287

  • Number of Illustrations: 34 b/w illustrations, 53 illustrations in colour

  • Topics: Artificial Intelligence

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Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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