The Semantic Web – ISWC 2025

.- 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.