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The Semantic Web

21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26–30, 2024, Proceedings, Part I

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Albert Meroño Peñuela

    1. King’s College London, London, UK

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  2. Anastasia Dimou

    1. KU Leuven, Sint-Katelijne-Waver, Belgium

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  3. Raphaël Troncy

    1. EURECOM, Biot, France

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  4. Olaf Hartig

    1. Linköping University, Linköping, Sweden

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  5. Maribel Acosta

    1. Technical University of Munich, Heilbronn, Germany

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  6. Mehwish Alam

    1. Polytechnic Institute of Paris, Palaiseau, France

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  7. Heiko Paulheim

    1. University of Mannheim, Mannheim, Germany

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  8. Pasquale Lisena

    1. EURECOM, Biot, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14664)

Included in the following conference series:

Conference proceedings info: ESWC 2024.

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About this book

The two-volume set LNCS 14664 and 14665 constitutes the refereed proceedings of the 21st International Conference on The Semantic Web, ESWC 2024, held in Hersonissos, Crete, Greece, during May 26-30, 2024.

The 32 full papers presented were carefully reviewed and selected from 138 submissions. They focus on all aspects of theoretical, analytical, and empirical aspects of the semantic web, semantic technologies, knowledge graphs and semantics on the web in general.

Keywords

Table of contents (18 papers)

  1. Front Matter

    Pages i-xxvi
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  2. Research

    1. Front Matter

      Pages 1-1
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    2. Do Similar Entities Have Similar Embeddings?

      • Nicolas Hubert, Heiko Paulheim, Armelle Brun, Davy Monticolo
      Pages 3-21

    3. Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction

      • Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo
      Pages 22-40

    4. QAGCN: Answering Multi-relation Questions via Single-Step Implicit Reasoning over Knowledge Graphs

      • Ruijie Wang, Luca Rossetto, Michael Cochez, Abraham Bernstein
      Pages 41-58

    5. Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs

      • Duygu Sezen Islakoglu, Melisachew Wudage Chekol, Yannis Velegrakis
      Pages 59-78

    6. A Language Model Based Framework for New Concept Placement in Ontologies

      • Hang Dong, Jiaoyan Chen, Yuan He, Yongsheng Gao, Ian Horrocks
      Pages 79-99

    7. Low-Dimensional Hyperbolic Knowledge Graph Embedding for Better Extrapolation to Under-Represented Data

      • Zhuoxun Zheng, Baifan Zhou, Hui Yang, Zhipeng Tan, Arild Waaler, Evgeny Kharlamov et al.
      Pages 100-120

    8. SC-Block: Supervised Contrastive Blocking Within Entity Resolution Pipelines

      • Alexander Brinkmann, Roee Shraga, Christina Bizer
      Pages 121-142

    9. Navigating Ontology Development with Large Language Models

      • Mohammad Javad Saeedizade, Eva Blomqvist
      Pages 143-161

    10. ESLM: Improving Entity Summarization by Leveraging Language Models

      • Asep Fajar Firmansyah, Diego Moussallem, Axel-Cyrille Ngonga Ngomo
      Pages 162-179

    11. Explanation of Link Predictions on Knowledge Graphs via Levelwise Filtering and Graph Summarization

      • Roberto Barile, Claudia d’Amato, Nicola Fanizzi
      Pages 180-198

    12. Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark

      • Jens Lehmann, Antonello Meloni, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo Antonio Salatino et al.
      Pages 199-217

    13. Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins

      • Nikolaos Karalis, Alexander Bigerl, Liss Heidrich, Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo
      Pages 218-235

    14. Can Contrastive Learning Refine Embeddings

      • Lihui Liu, Jinha Kim, Vidit Bansal
      Pages 236-250

  3. In-Use

    1. Front Matter

      Pages 251-251
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    2. Automation of Electronic Invoice Validation Using Knowledge Graph Technologies

      • Johannes Mäkelburg, Christian John, Maribel Acosta
      Pages 253-269

    3. Towards Cyber Mapping the German Financial System with Knowledge Graphs

      • Markus Schröder, Jacqueline Krüger, Neda Foroutan, Philipp Horn, Christoph Fricke, Ezgi Delikanli et al.
      Pages 270-288

    4. Integrating Domain Knowledge for Enhanced Concept Model Explainability in Plant Disease Classification

      • Jihen Amara, Sheeba Samuel, Birgitta König-Ries
      Pages 289-306

    5. Generative Expression Constrained Knowledge-Based Decoding for Open Data

      • Lucas Lageweg, Benno Kruit
      Pages 307-325
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Other volumes

  1. The Semantic Web

  2. The Semantic Web

Editors and Affiliations

  • King’s College London, London, UK

    Albert Meroño Peñuela

  • KU Leuven, Sint-Katelijne-Waver, Belgium

    Anastasia Dimou

  • EURECOM, Biot, France

    Raphaël Troncy, Pasquale Lisena

  • Linköping University, Linköping, Sweden

    Olaf Hartig

  • Technical University of Munich, Heilbronn, Germany

    Maribel Acosta

  • Polytechnic Institute of Paris, Palaiseau, France

    Mehwish Alam

  • University of Mannheim, Mannheim, Germany

    Heiko Paulheim

Bibliographic Information

  • Book Title: The Semantic Web

  • Book Subtitle: 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26–30, 2024, Proceedings, Part I

  • Editors: Albert Meroño Peñuela, Anastasia Dimou, Raphaël Troncy, Olaf Hartig, Maribel Acosta, Mehwish Alam, Heiko Paulheim, … Pasquale Lisena

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-60626-7

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-60625-0Published: 20 May 2024

  • eBook ISBN: 978-3-031-60626-7Published: 18 May 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXVI, 344

  • Number of Illustrations: 8 b/w illustrations, 63 illustrations in colour

  • Topics: Information Storage and Retrieval, Computer Applications, Algorithm Analysis and Problem Complexity, Machine Learning, Knowledge based Systems

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