Knowledge Engineering and Knowledge Management: 23rd International Conference, EKAW 2022, Bolzano, Italy, September 26–29, 2022, Proceedings (Lecture Notes in Artificial Intelligence)

This book constitutes the refereed proceedings of the 23rd International Conference on Knowledge Engineering and Knowledge Management, EKAW 2022, held in Bolzano, Italy, in September 2022. The 11 full papers presented together with 5 short papers were carefully reviewed and selected from 57 submissions The previous event in the series, EKAW 2020, introduced a special theme related to “Ethical and Trustworthy Knowledge Engineering.” This theme is still very relevant in 2022, and thus has remained one of the core topics of the conference. The conference concerned with all aspects about eliciting, acquiring, modeling and managing knowledge, and the construction of knowledge-intensive systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, and much more. Preface Organization Contents Research Papers Basic Human Values and Moral Foundations Theory in ValueNet Ontology 1 Introduction 2 Preliminaries 2.1 Frame Semantics and Framester 2.2 ValueNet 2.3 ValueCore 2.4 MFTriggers 3 ValueNet Theoretical Modules 3.1 Basic Human Values 3.2 Moral Foundations Theory 4 Evaluation: BHV and MFT Use Cases 4.1 BHV Inferences 4.2 MFT Inferences 5 Conclusions and Future Improvement References Extending Ontology Engineering Practices to Facilitate Application Development 1 Introduction 2 Related Work 3 Method for API Generation Based on Ontology Artefacts 4 Supporting the API Generation Process 5 Evaluation 5.1 Experiment 1 5.2 Experiment 2 6 Conclusions and Future Work References MultiAligNet: Cross-lingual Knowledge Bridges Between Words and Senses 1 Introduction 2 Related Work 3 k-Multilingual Concepts 3.1 Lexical Gaps 3.2 Synonymous Words 3.3 Polysemous Words 4 Alignment Methodology 4.1 Method and Languages Involved 4.2 Automatic Extraction of MCks 5 The MultiAligNet Resource 5.1 Distributional Representation 5.2 Knowledge Graph 6 Extraction Results and Evaluation 6.1 MCks Novelty and Quality Assessment 6.2 MCks Disambiguation Power 7 Conclusion and Future Work References Question Answering with Additive Restrictive Training (QuAART): Question Answering for the Rapid Development of New Knowledge Extraction Pipelines 1 Introduction 2 Related Work 3 QuAART Framework 4 Datasets 5 Experimental Method and Results 5.1 Experiment 1: Incremental Training with HAnDS 5.2 Experiment 2 – Training with Gold Data 6 Discussion 7 Conclusion References New Strategies for Learning Knowledge Graph Embeddings: The Recommendation Case 1 Introduction 2 Related Work 2.1 Knowledge Graph Embeddings for Recommendation 2.2 Negative Sampling for Link Prediction in Knowledge Graphs 3 Training Embedding Models for Recommendation 3.1 Knowledge Graph Embedding Models 3.2 New Specialization Strategies for Training KGE 3.3 Evaluating Recommendations: Hits@K and Sem@K 4 Experiments 4.1 Datasets 4.2 Experimental Setup 4.3 Results 5 Discussion 6 Conclusion and Future Directions References Documenting the Creation, Manipulation and Evaluation of Links for Reuse and Reproducibility 1 Introduction 1.1 Competency Questions 1.2 Motivation 2 Related Work 2.1 VoID 2.2 VoID Extensions 2.3 Vocabulary Used in Data Integration Tools 3 Approach: VoID+ 4 Evaluation 4.1 Queries For Competency Questions (QCQ) 4.2 Use Case - Occasional Poetry 5 Discussion 6 Conclusion References Should We Afford Affordances? Injecting ConceptNet Knowledge into BERT-Based Models to Improve Commonsense Reasoning Ability 1 Introduction 2 Related Work 3 Affordances 4 Datasets 5 Method 6 Evaluation 7 Conclusions References Towards a Knowledge Graph of Health Evolution 1 Introduction 2 Background and Related Work 3 Methodology Overview 4 Knowledge Acquisition Pipeline 4.1 Corpus Preparation 4.2 Knowledge Components Extraction 4.3 Knowledge Completion 4.4 Human-in-the-Loop 5 Knowledge Graph 6 Evaluation 6.1 Results 7 Conclusions References Beyond Causality: Representing Event Relations in Knowledge Graphs 1 Introduction 2 Related Work 3 FARO: An Event Relation Ontology 4 An Event Relation Dataset 4.1 A Generic Relation Link: RLINK 4.2 Candidate Generation 4.3 Manual Annotation 4.4 Results and Discussion 5 Conclusion and Future Work References Evaluating the Interpretability of Threshold Operators 1 Introduction 2 Background 2.1 Tooth Operator - Preliminary Definitions 2.2 Disjunctive Normal Forms - Preliminary Definitions 3 Evaluating the Interpretability of Explanations 4 Experimental Evaluation 4.1 Method 4.2 Results 5 Conclusion and Future Works A Examples used in the questionnaires References EBOCA: Evidences for BiOmedical Concepts Association Ontology 1 Introduction 2 Related Work 3 Methodology 4 Ontology Description 4.1 EBOCA SEM-DISNET 4.2 EBOCA Evidences 5 Ontology Evaluation 6 Conclusions References Counter Effect Rules Mining in Knowledge Graphs 1 Introduction 2 Related Work 3 Preliminaries and Problem Statement 4 Discovering Counter Effects Rules 4.1 Step 1: Mining Differential Causal Rules 4.2 Step 2: Obtaining Opposite Effects 5 Experiments 6 Conclusion References A FAIR Core Semantic Metadata Model for FAIR Multidimensional Tabular Datasets 1 Introduction 2 Related Work 3 Reusing Existing Vocabularies 4 Proposed Model 5 Evaluation 6 Conclusion and Future Work References Human-Centric Ontology Evaluation: Process and Tool Support 1 Introduction 2 Methodology 3 HERO - A Human-Centric Ontology Evaluation Process 3.1 Preparation Stage 3.2 Execution Stage 3.3 Follow-Up Stage 4 HERO Reference Architecture 5 Case-Study-Based Evaluation 5.1 Feasibility Study: Prototype Implementation 5.2 Evaluation Results 6 Related Work 7 Summary and Future Work References Position Papers Towards Pragmatic Explanations for Domain Ontologies 1 Introduction 2 Ontology and Explanation 2.1 Ontology as an Explanation 2.2 Aspects of Ontology Explanation 3 A Pragmatic Approach to Ontology Explanation 4 Functionality of an Ontology Explanation System 5 Final Considerations References Quasi-Equivalent Concept Trade-Off in Ontology Design: Initial Considerations and Analyses 1 Introduction 2 Quasi-Equivalent Concept Problem Input/Outcome 3 LOV Link Analysis 4 Real-World Cases 4.1 Case 1: Entry vs. LexicalEntry in OntoLex 4.2 Case 2: Attestation in lemonBib vs. Citation in CiTO 4.3 Case 3: Fanconi Anemia in Mondo Disease Ontology 4.4 Case 4: Notions of `Evaluation' in the Antigen Test Ontology 4.5 Comparison of the Cases 5 Software Support Considerations 6 Conclusions References Author Index