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Knowledge Engineering and Knowledge Management

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

  • Conference proceedings
  • © 2020

Overview

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

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    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)

Included in the following conference series:

Conference proceedings info: EKAW 2020.

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Table of contents (19 papers)

  1. Front Matter

    Pages i-xii
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  2. Research Papers

    1. Front Matter

      Pages 1-1
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    2. A Comparison of the Cognitive Difficulties Posed by SPARQL Query Constructs

      • Paul Warren, Paul Mulholland
      Pages 3-19

    3. What to Do When the Users of an Ontology Merging System Want the Impossible? Towards Determining Compatibility of Generic Merge Requirements

      • Samira Babalou, Elena Grygorova, Birgitta König-Ries
      Pages 20-36

    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

    6. Analysis of Term Reuse, Term Overlap and Extracted Mappings Across AgroPortal Semantic Resources

      • Amir Laadhar, Elcio Abrahão, Clement Jonquet
      Pages 71-87

    7. Ontologies Supporting Research-Related Information Foraging Using Knowledge Graphs: Literature Survey and Holistic Model Mapping

      • Viet Bach Nguyen, Vojtěch Svátek, Gollam Rabby, Oscar Corcho
      Pages 88-103

    8. A Unified Nanopublication Model for Effective and User-Friendly Access to the Elements of Scientific Publishing

      • Cristina-Iulia Bucur, Tobias Kuhn, Davide Ceolin
      Pages 104-119

    9. Concept Extraction Using Pointer–Generator Networks and Distant Supervision for Data Augmentation

      • Alexander Shvets, Leo Wanner
      Pages 120-135

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

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

    11. What2Cite: Unveiling Topics and Citations Dependencies for Scientific Literature Exploration and Recommendation

      • Davide Giosa, Luigi Di Caro
      Pages 147-157

    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
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    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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  1. Knowledge Engineering and Knowledge Management

Keywords

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.

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

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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