Table of Contents

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   Book Overview
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   Chapter 1 Introducing Semantic Information for Numerical Attribute Prediction over Knowledge Graphs
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   Chapter 2 Faithful Embeddings for  $$\mathcal{E}\mathcal{L}^{++}$$ E L + + Knowledge Bases
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   Chapter 3 Enhancing Document-Level Relation Extraction by Entity Knowledge Injection
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   Chapter 4 Hashing the Hypertrie: Space- and Time-Efficient Indexing for SPARQL in Tensors
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   Chapter 5 Towards Neural Network Interpretability Using Commonsense Knowledge Graphs
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   Chapter 6 Reproducibility Crisis in the LOD Cloud? Studying the Impact of Ontology Accessibility and Archiving as a Counter Measure
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   Chapter 7 HCL: Improving Graph Representation with Hierarchical Contrastive Learning
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   Chapter 8 How to Agree to Disagree
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    Chapter 9 Context-Driven Visual Object Recognition Based on Knowledge Graphs
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    Chapter 10 EaT-PIM: Substituting Entities in Procedural Instructions Using Flow Graphs and Embeddings
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    Chapter 11 $$\text {H}^2\text {TNE}$$ H 2 TNE : Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces
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    Chapter 12 Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs
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    Chapter 13 Mapping Relational Database Constraints to SHACL
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    Chapter 14 POSO: A Generic Positioning System Ontology
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    Chapter 15 Each Snapshot to Each Space: Space Adaptation for Temporal Knowledge Graph Completion
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    Chapter 16 Efficient Dependency Analysis for Rule-Based Ontologies
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    Chapter 17 Heterogeneous Graph Neural Network with Hypernetworks for Knowledge Graph Embedding
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    Chapter 18 MultPAX : Keyphrase Extraction Using Language Models and Knowledge Graphs
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    Chapter 19 RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue Generation
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    Chapter 20 LoGNet : Local and Global Triple Embedding Network
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    Chapter 21 An Analysis of Content Gaps Versus User Needs in the Wikidata Knowledge Graph
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    Chapter 22 Repairing SHACL Constraint Violations Using Answer Set Programming
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    Chapter 23 Entity Type Prediction Leveraging Graph Walks and Entity Descriptions
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    Chapter 24 Strabo 2 : Distributed Management of Massive Geospatial RDF Datasets
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    Chapter 25 Controlled Query Evaluation in OWL 2 QL: A “Longest Honeymoon” Approach
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    Chapter 26 A Survey of Syntactic Modelling Structures in Biomedical Ontologies
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    Chapter 27 HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs
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    Chapter 28 GNNQ: A Neuro-Symbolic Approach to Query Answering over Incomplete Knowledge Graphs
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    Chapter 29 Radar Station: Using KG Embeddings for Semantic Table Interpretation and Entity Disambiguation
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    Chapter 30 CRNet: Modeling Concurrent Events over Temporal Knowledge Graph
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    Chapter 31 LODChain : Strengthen the Connectivity of Your RDF Dataset to the Rest LOD Cloud
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    Chapter 32 WDV: A Broad Data Verbalisation Dataset Built from Wikidata
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    Chapter 33 Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching
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    Chapter 34 The DLCC Node Classification Benchmark for Analyzing Knowledge Graph Embeddings
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    Chapter 35 $$\mu \text {KG}$$ μ KG : A Library for Multi-source Knowledge Graph Embeddings and Applications
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    Chapter 36 IMGT-KG: A Knowledge Graph for Immunogenetics
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    Chapter 37 REBench: Microbenchmarking Framework for Relation Extraction Systems
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    Chapter 38 ISSA: Generic Pipeline, Knowledge Model and Visualization Tools to Help Scientists Search and Make Sense of a Scientific Archive
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    Chapter 39 CS-KG: A Large-Scale Knowledge Graph of Research Entities and Claims in Computer Science
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    Chapter 40 RMLStreamer-SISO: An RDF Stream Generator from Streaming Heterogeneous Data
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    Chapter 41 WDBench: A Wikidata Graph Query Benchmark
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    Chapter 42 Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature
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    Chapter 43 Semantic Knowledge Graphs for Distributed Data Spaces: The Public Procurement Pilot Experience
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    Chapter 44 Ontology Reshaping for Knowledge Graph Construction: Applied on Bosch Welding Case
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    Chapter 45 Executable Knowledge Graphs for Machine Learning: A Bosch Case of Welding Monitoring
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    Chapter 46 Scaling Knowledge Graphs for Automating AI of Digital Twins
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    Chapter 47 Knowledge Graph Induction Enabling Recommending and Trend Analysis: A Corporate Research Community Use Case
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    Chapter 48 SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT