Intro
Preface
Organization
Keynote Speeches and Panels
Knowledge Graphs in the Age of Large Language Models
Semantic Web Research in the Age of Generative Artificial Intelligence
ChatGLM: An Alternative to ChatGPT
Panel on Neuro-Symbolic AI
Contents - Part I
Contents - Part II
Research Track
Link Traversal Query Processing Over Decentralized Environments with Structural Assumptions
1 Introduction
2 Related Work
3 The Solid Ecosystem
3.1 Data Vault
3.2 WebID Profile
3.3 Type Index
4 Approach
4.1 Formal Preliminaries

4.2 Pipeline-Based Link Queue
4.3 Discovery of Data Vault
4.4 Discovery of Type Index
4.5 Implementation
5 Evaluation
5.1 Experimental Design
5.2 Experimental Results
5.3 Discussion
6 Conclusions
Supplemental Material Statement
References
Dense Re-Ranking with Weak Supervision for RDF Dataset Search
1 Introduction
2 Dense Re-Ranking for RDF Dataset Search
2.1 Overview
2.2 Compact Document Representation
2.3 Dense Re-Ranking
3 Coarse Tuning with Weak Supervision
3.1 Overview
3.2 Coarse-Tuning Based on Distant Supervision

3.3 Coarse-Tuning Based on Self-training
4 Evaluation
4.1 Test Collection
4.2 Labeled Data for Coarse-Tuning
4.3 Implementation Details
4.4 Experimental Settings
4.5 Evaluation Metrics
4.6 Evaluation Results
4.7 Case Study
5 Related Work
5.1 Dataset Search
5.2 Dense Ranking
6 Conclusion and Future Work
References
Optimizing SPARQL Queries with SHACL
1 Introduction
2 Preliminaries
3 Optimizations
4 Discussion
5 Conclusion
References
HAEE: Low-Resource Event Detection with Hierarchy-Aware Event Graph Embeddings
1 Introduction

2 Related Work
3 Methodology
3.1 Problem Formulation
3.2 Model Overview
3.3 Event Detection
3.4 Graph Embedding
3.5 Embedding Convolution
3.6 Loss Function
4 Experiments
4.1 Datasets
4.2 Experiments Settings
4.3 Baselines
4.4 Results
5 Analysis
5.1 Cause Representation
5.2 Subevent Representation
5.3 Ablation Studies
6 Conclusions and Future Work
References
Textual Entailment for Effective Triple Validation in Object Prediction
1 Introduction
2 Related Work
3 Object Prediction
3.1 Task Definition

3.2 SATORI: Seek and Entail for Object Prediction
4 Evaluation Setup
4.1 Dataset
4.2 Metrics
4.3 SATORI Configuration
4.4 Baselines
4.5 Pretrained Models and Training Regimes
5 Evaluation Results
5.1 Language Model Prompting and Triple Validation
5.2 Additional Pretraining and Fine-Tuning Scenarios
5.3 Language Models Vs Structured Knowledge Sources and Information Extraction Methods
6 Conclusions
References
ASKRL: An Aligned-Spatial Knowledge Representation Learning Framework for Open-World Knowledge Graph
1 Introduction
2 Related Work