The Semantic Web – ISWC 2024

.- 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.