The Semantic Web : 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 – June 2, 2022, Proceedings

Chapters “No. 10 and No. 21” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Preface Organization Contents Research Enhancing Sequential Recommendation via Decoupled Knowledge Graphs 1 Introduction 2 Related Work 2.1 Sequential Recommendation 2.2 Knowledge-Enhanced Recommendation 3 Problem Definition and Notation 3.1 Cross-User Behavior-Based Graph (CRBGraph) 3.2 Intrinsic Attribute-Based Graph (IAGraph) 3.3 Task Description 4 Method 4.1 Knowledge Extractor 4.2 Knowledge Aggregator 4.3 Sequential Interactions Modeling (SIM) 4.4 Model Learning and Prediction 5 Experiment 5.1 Experimental Settings 5.2 Performance Comparison 5.3 Ablation Study 5.4 Effectiveness of Knowledge Extractor 5.5 Impact of Knowledge Extractor Depth 5.6 Compatibility of High-level Semantic Knowledge 6 Conclusion References An Analysis of Links in Wikidata 1 Introduction 2 The Wikidata Ontology Schema 2.1 Classes in Wikidata 2.2 Properties in Wikidata 3 Links in Wikidata 3.1 Dataset Corpus and Authoritative Namespaces 3.2 Ontology Corpus 3.3 Link Type Analysis 4 Evaluation of Links 4.1 General Statistics of the Wikidata KG 4.2 Ontology Links 4.3 Instance Links 5 Related Work 6 Conclusion References Knowledge Graph Entity Type Prediction with Relational Aggregation Graph Attention Network 1 Introduction 2 Related Works 2.1 Knowledge Graph Completion Models 2.2 Knowledge Graph Entity Type Prediction Models 3 Methods 3.1 Problem Definition and Symbol 3.2 Encoder: FRGAT 3.3 Decoder: CE2T 3.4 Training 3.5 Performing 4 Experiments 4.1 Datasets 4.2 Experimental Setup 4.3 Entity Type Prediction Experiments 4.4 Attention Calculation Function Analysis 4.5 Combination Mode Analysis 4.6 the Number of Different Relations Analysis 5 Conclusion and Future Work References Union and Intersection of All Justifications 1 Introduction 2 Preliminaries 3 Computing the Intersection of All Justifications 4 Computing the Union of All Justifications 4.1 Black-Box Algorithm 4.2 MUS Membership Algorithm (MUS-MEM) 5 Repairing Ontologies 6 Evaluation 7 Conclusions References Supervised Knowledge Aggregation for Knowledge Graph Completion 1 Introduction 2 Related Work 3 Rule-Based Knowledge Graph Completion 3.1 Preliminaries 3.2 AnyBURL 3.3 Knowledge Aggregation 4 Supervised Knowledge Aggregation 4.1 Challenges 4.2 Supervised Rule Aggregation 5 Latent-Based Aggregation 5.1 Sparse Aggregation 5.2 Optimizing Mean-Rank Using Black-Box Optimization 5.3 Dense Aggregation 6 Experiments 6.1 Datasets 6.2 Experimental Settings 6.3 Results 7 Interpretability 8 Conclusion A Experimental Details A.1 Model Input A.2 Hyperparameters A.3 Rule Sets References Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and Reasoning 1 Introduction 2 Related Work 2.1 Scene Graph Generation 2.2 Commonsense Knowledge Sources and Infusion 3 Proposed Method 4 Experiments and Results 4.1 Experimental Setup 4.2 Results 5 Conclusion References Impact of the Characteristics of Multi-source Entity Matching Tasks on the Performance of Active Learning Methods 1 Introduction 2 Related Work 3 Profiling Dimensions for Multi-source EM Tasks 4 ALMSERgen: A Multi-source EM Task Generator 5 Experimental Setup and Analysis 5.1 Experimental Setup 5.2 Analysis of Experimental Results of Generated Tasks 5.3 Analysis of Experimental Results of Benchmark Tasks 6 Conclusion References Optimal ABox Repair w.r.t. Static E-1.618mu L TBoxes: From Quantified ABoxes Back to ABoxes 1 Introduction 2 Preliminaries 3 Optimal ABox Repairs and Approximations 3.1 Optimal IQ- and IRQ-Repairs 3.2 Optimal ABox Approximations 3.3 Optimal ABox Repairs 4 Computing Optimal ABox Approximations 5 Computing Optimal ABox Repairs 6 Conclusion References Ensemble-Based Fact Classification with Knowledge Graph Embeddings 1 Introduction 2 Link Prediction with KGEs 3 Our Proposal 3.1 Classifiers 3.2 Aggregation 4 Evaluation 4.1 Performance of Link Prediction 5 Related Work 6 Conclusion References The Problem with XSD Binary FloatingPoint Datatypes in RDF 1 Introduction 2 Background 3 Properties of Binary Floating Point and Decimal Datatypes in RDF 4 Implications for the Selection of Numeric Datatypes 5 Automatic Distortion Detection 6 Datatype Usage Survey 7 Conclusion References DCWEB-SOBA: Deep Contextual Word Embeddings-Based Semi-automatic Ontology Building for Aspect-Based Sentiment Classification 1 Introduction 2 Related Work 2.1 Hybrid Models 2.2 Ontology Building Approaches 2.3 Deep Contextual Word Embeddings 3 Data 4 Methodology 4.1 Word Embeddings 4.2 Skeletal Ontology Building 4.3 Term Selection 4.4 Sentiment Term Clustering 4.5 Aspect Term Hierarchical Clustering 5 Evaluation 5.1 Ontology Building Results 5.2 Hybrid Setting Results 6 Conclusion References Never Mind the Semantic Gap: Modular, Lazy and Safe Loading of RDF Data 1 Introduction 2 Running Example 3 Preliminaries 4 Modular Loading 5 Inheritance 6 Lazy Loading 7 Evaluation 8 Related Work 9 Conclusion References Improving Question Answering Quality Through Language Feature-Based SPARQL Query Candidate Validation 1 Introduction 2 Related Work 3 Approach 3.1 SPARQL Query Candidates Verbalization 3.2 Query Validation Process 3.3 Measures of Query Validation Efficiency 4 Material and Methods 4.1 The KGQA System QAnswer 4.2 Datasets Overview 4.3 Data Preparation Process 4.4 BERT-Based Query Validator 5 Experimental Setup 6 Evaluation and Analysis 6.1 Answer Validation Classifier Evaluation 6.2 Question Answering Quality Improvement 6.3 Discussion and Limitations 7 Conclusions References Learning Concept Lengths Accelerates Concept Learning in ALC 1 Introduction 2 Background 3 Related Work 4 Concept Length Prediction 4.1 Training Data for Length Prediction 4.2 Concept Length Predictors 5 Concept Learner with Integrated Length Prediction (CLIP) 6 Evaluation 6.1 Concept Length Prediction 6.2 Concept Learning 7 Conclusion and Future Work References Dihedron Algebraic Embeddings for Spatio-Temporal Knowledge Graph Completion 1 Introduction 2 Related Work 3 Dihedron Algebra 4 Proposed Approach 5 Experiments 6 Conclusion References Hierarchical Topic Modelling for Knowledge Graphs 1 Introduction 2 Related Works 2.1 Tag Hierarchy Induction Methods 2.2 Embeddings and Clustering Algorithms 3 Proposed Model 3.1 Problem Formulation 3.2 Probabilistic Topic Models 3.3 Model Description 3.4 Inference 4 Evaluation 4.1 Datasets 4.2 Quantitative Evaluation 4.3 Qualitative Evaluation 5 Conclusion References Resources Do Arduinos Dream of Efficient Reasoners? 1 Introduction 2 Related Work 2.1 The RETE Algorithm 2.2 Incremental Reasoning 2.3 Embedded Reasoning 3 LiRoT: Improving RETE for the SWoT 3.1 Term Indexing 3.2 Merging Alpha Memories 3.3 Optimizing Incremental Maintenance 3.4 Implementation Details 4 Evaluation and Results 4.1 Dataset and Evaluation Method 4.2 Correctness Verification 4.3 Comparison with Other Reasoners 4.4 Improvements of the RETE Algorithm 4.5 Improvements on Embedded Devices 5 Discussion 5.1 Memory Usage 5.2 Processing Time 6 Conclusion and Future Works References A Programming Interface for Creating Data According to the SPAR Ontologies and the OpenCitations Data Model 1 Introduction 2 Related Works 3 Model and Requirements 4 Implementation 4.1 Importing Data from a Persistent RDF Graph 4.2 Data Manipulation 4.3 Change Tracking 4.4 Provenance Generation 4.5 Data Synchronisation 5 Potential Impact, Adoption and Community 6 Conclusions References LD Connect: A Linked Data Portal for IOS Press Scientometrics 1 Introduction 2 LD Connect 3 Embeddings 3.1 Document Embeddings 3.2 Knowledge Graph Embeddings 4 IOS Press Scientometrics 5 Conclusions and Future Work References Chowlk: from UML-Based Ontology Conceptualizations to OWL 1 Introduction 2 Visual Notation 3 The Chowlk Converter 3.1 Selecting a Diagramming Tool 3.2 The Detection Module 3.3 The Association Module 3.4 The Writing Module 3.5 Current Limitations 4 Validation 4.1 Adoption and Use 4.2 Validation Tests 5 Related Work 6 Conclusions and Future Work References QuoteKG: A Multilingual Knowledge Graph of Quotes 1 Introduction 2 Potential Impact 3 QuoteKG Schema 4 Extraction and Alignment of Quotes 4.1 Wikiquote 4.2 Extraction of Page Trees 4.3 Identification and Enrichment of Quotes 4.4 Cross-Lingual Alignment of Quote Mentions 4.5 RDF Triples Creation 4.6 Implementation 5 Statistics, Evaluation, Examples and Web Interface 5.1 Statistics 5.2 Evaluation of the Cross-Lingual Alignment 5.3 Example Queries 5.4 Web Interface 6 Availability 7 Related Work 8 Conclusion References Stunning Doodle: A Tool for Joint Visualization and Analysis of Knowledge Graphs and Graph Embeddings 1 Introduction 2 Stunning Doodle 2.1 Knowledge Graphs Visualization 2.2 Graph Embeddings Visual Analysis 2.3 Software Design and Limitations 2.4 Software Availability and Reusability 3 Use Cases: The OntoSIDES Scenario 3.1 Understanding a Knowledge Graph 3.2 Analyzing and Comparing GEs 4 Related Work 5 Conclusion and Future Work References Capturing the Semantics of Smell: The Odeuropa Data Model for Olfactory Heritage Information 1 Introduction 2 Related Work 3 Design Methodology and Model Requirements 4 The Odeuropa Data Model 4.1 Extending Established Ontologies 4.2 A Three-Layered Model 4.3 Provenance Information 5 Controlled Vocabularies 6 Evaluation with Competency Questions 7 Showcase: Modelling the Smell of a Location 8 Conclusions and Future Work References Stream Reasoning Playground 1 Introduction 2 Platform - Stream Reasoning Playground 3 Scenarios 3.1 Scenario A - Traffic Management 3.2 Scenario B - Vehicle Signals and Surrounding Objects 3.3 Streaming a Custom Time-Series Scenario 4 Case Study and Lessons Learned: SR Hackathon 2021 4.1 Solutions of the Participants 4.2 Lessons Learned 5 Related Work 6 Conclusion References In-Use Track The Dow Jones Knowledge Graph 1 Background and Motivation 2 Knowledge Graph Construction and Applications 2.1 Knowledge Graph Construction 2.2 Knowledge Graph Applications 3 RDFox 3.1 Parallelized Materialization 3.2 Parallelized Data Loading 3.3 SPARQL Query Answering 4 Performance 4.1 Test Data and Environments 4.2 Data Loading 4.3 Query Answering 5 Discussion and Future Directions References CONSTRUCT Queries Performance on a Spark-Based Big RDF Triplestore 1 Introduction 2 Background 3 Performance Evaluation of Virtuoso and GraphDB 3.1 OntoSIDES Benchmark for CONSTRUCT Queries 3.2 Experimental Protocol 3.3 Limitations of Virtuoso and GraphDB 4 TESS Architecture and Performance 4.1 TESS Architecture 4.2 TESS Performance Evaluation 5 Related Work 6 Conclusion References Matching Multiple Ontologies to Build a Knowledge Graph for Personalized Medicine 1 Introduction 2 Challenges in Holistic Biomedical Ontology Matching 3 Enhancing AML for Holistic Ontology Matching 3.1 AgreementMakerLight 3.2 Extensions to AML 3.3 Implementing Holistic Matching Strategies Using AML 4 Integrating Biomedical Ontologies in a Personalized Oncology KG 4.1 Ontologies 4.2 Alignment Strategies 4.3 Results 4.4 Discussion 5 Conclusions References FindSampo: A Linked Data Based Portal and Data Service for Analyzing and Disseminating Archaeological Object Finds 1 Introduction 1.1 Web Services for Citizens and Researchers 1.2 Related Work 1.3 Applying the Sampo Model on a Framework Level 2 FindSampo Data Model and Data Service 2.1 Data Model 2.2 Ontologies 2.3 Data Conversion 3 FindSampo Semantic Portal 4 Discussion 4.1 Contributions 4.2 Future Work References Correction to: The Semantic Web Correction to: P. Groth et al. (Eds.): in: The Semantic Web, LNCS 13261, https://doi.org/10.1007/978-3-031-06981-9 Author Index This book constitutes the refereed proceedings of the 19th International Semantic Web Conference, ESWC 2022, held in Hersonissos, Crete, Greece in May/June 2022. The 28 full papers presented were carefully reviewed and selected from 119 submissions. The papers are covering subjects related to semantic technologies, ranging from deep learning and knowledge graphs to integration for software development and ontologies. The quality of the accepted papers put the maturity level reached by the Semantic Web technologies into perspective. They provide evidence of the impact of these technologies in areas like data management, question answering, reasoning, programming languages, and machine learning.