The Semantic Web – ISWC 2025: 24th International Semantic Web Conference, Nara, Japan, November 2–6, 2025, Proceedings, Part II

Author:   Daniel Garijo ,  Sabrina Kirrane ,  Angelo Salatino ,  Cogan Shimizu
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032095299


Pages:   476
Publication Date:   29 October 2025
Format:   Paperback
Availability:   In Print   Availability explained
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The Semantic Web – ISWC 2025: 24th International Semantic Web Conference, Nara, Japan, November 2–6, 2025, Proceedings, Part II


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Author:   Daniel Garijo ,  Sabrina Kirrane ,  Angelo Salatino ,  Cogan Shimizu
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032095299


ISBN 10:   3032095298
Pages:   476
Publication Date:   29 October 2025
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

.- Research Track. .- SnapE - Training Snapshot Ensembles of Link Prediction Models. .- Numerical Literals in Link Prediction: A Critical Examination of Models and Datasets. .- Relationships are Complicated! An Analysis of Relationships Between Datasets on the Web. .- Multi-view Transformer-based Network for Prerequisite Learning in Concept Graphs. .- Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery. .- Repairing Networks of EL⊥ Ontologies using Weakening and Completing. .- Do LLMs Really Adapt to Domains? An Ontology Learning Perspective. .- Supervised Relational Learning with Selective Neighbor Entities for Few-Shot Knowledge Graph Completion. .- Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation. .- Unaligned Federated Knowledge Graph Embedding. .- Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion. .- BLINK: Blank Node Matching Using Embeddings. .- Distilling Event Sequence Knowledge From Large Language Models.

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