Services computing – SCC 2022 : 19th international conference, held as part of the Services Conference Federation, SCF 2022, Honolulu, HI, USA, December 10-14, 2022 : proceedings

This volume constitutes the proceedings of the 19th International Conference on Services Computing 2022, SCC 2022, held as part of SCF 2022 during December 10-14, 2022 in Honolulu, USA. The 8 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 15 submissions. It covers the science and technology of leveraging computing and information technology to model, create, operate, and manage business services. Preface Organization Services Society Services Conference Federation (SCF) Contents The Data Visualization Analysis in Global Supply Chain Resilience Research During 2012–2022 1 Introduction 2 Methods and Sources of Data 2.1 Methods 2.2 Data Sources 3 Results of Scientometric 3.1 Visual Analyses of Journals 3.2 Visual Analyses of Publication Types 3.3 Visual Analyses of Research Headings 3.4 Visual Analyses of Scholars 3.5 Visual Analyses of Citation Metric 4 Discussions and Conclusion References Can an Artificial Intelligence System Be Taken as a Legal Subject 1 Overview and Category of Artificial Intelligence 2 The Influence of Artificial Intelligence on the Law 3 Artificial Intelligence and Legal Subject 3.1 Relative Description of Legal Subject 3.2 The Philosophical Connotation of Legal Subject 3.3 Artificial Intelligence and Legal Personality 4 Non-axiomatic Reasoning System and Legal Personality 4.1 NARS and Its Basic Reasoning Rules 4.2 NARS and Legal Personality 5 Conclusion References Context Preserving Data Augmentation for Sequential Recommendation 1 Introduction 2 Related Work 2.1 Sequential Recommendation (SR) 2.2 Data Augmentation 2.3 BERT Embeddings 3 The COMBERT Model 3.1 Problem Definition 3.2 Data Augmentation 3.3 Transformer-Based Encoder 3.4 Representation Learning with CNNs 4 Experiments 4.1 Datasets 4.2 Pre-Processing 4.3 Evaluation Metrics 4.4 Compared Baselines 4.5 RQ1 4.6 RQ2 4.7 RQ3 5 Conclusion References Defending Environmental Competence: A Moral Principle for Data Use 1 Introduction 2 Research Objects and Basic Concepts 3 A Critical Rule of Morality for Data Use 3.1 From Transcendental Subject to Daily Life 3.2 The Most General Critical Morality 3.3 The Critical Morality for Data Use 4 The Critical Moral Principle for Data Use 4.1 From Critical Morality to a Principle 4.2 Critical Moral Principle in Policies 5 Evaluation Indicators of Data Usage Design 5.1 Cognitive Interest 5.2 Size of Technology 5.3 Interactivity 5.4 Virtuality 5.5 Participable 6 Conclusions and Future Work References ELECTRA-KG: A Transformer-Knowledge Graph Recommender System 1 Introduction 2 Background and Preliminary Work 2.1 Efficiently Learning an Encoder that Classifies Token Replacements Accurately (ELECTRA) 3 ELECTRA-KG RS 3.1 Problem Definition 3.2 Method Overview 4 Experiments 4.1 Datasets 4.2 Metrics 4.3 Baselines 4.4 Results and Discussion 5 Related Work 5.1 Knowledge Graph for Recommendation: 5.2 Language Modeling 6 Conclusion References Neighbor Collaboration-Based Secure Federated QoS Prediction for Smart Home Services 1 Introduction 2 Related Work 3 Method 3.1 Problem Definition 3.2 Federated QoS Prediction 3.3 Privacy Protection via Neighbor Collaboration 3.4 Handling Dropout Users 3.5 Algorithm Descriptions 3.6 Communication Overhead and Security Analysis 4 Experiments 4.1 Dataset and Evaluation Metrics 4.2 Experimental Settings 4.3 Prediction Performance Comparison (RQ 1) 4.4 Effect of the Number of Neighbors and Matrix Density (RQ 2) 4.5 Effect of the Participation Ratio (RQ 3) 4.6 Effect of User Dropout (RQ 4) 5 Conclusion and Future Work References Research Directions in Process Modeling and Mining Using Knowledge Graphs and Machine Learning 1 Introduction 2 Knowledge Graphs 2.1 Enterprise Knowledge Graph 2.2 Temporal Knowledge Graphs 3 Process Modeling and Mining 3.1 Business Process Modeling Notation 3.2 The Time Element in BPMN 3.3 Process Mining 4 Use of Knowledge Graphs in Process Modeling 4.1 Annotation of BPMN Models Using Knowledge Graphs 4.2 Translation of BPMN Models to Knowledge Graphs 5 Application of Machine Learning 5.1 Subgraph Pattern Matching 5.2 Knowledge Graph Completion 5.3 Knowledge Graph Embedding 5.4 Graph Neural Networks 5.5 Predictive Process Monitoring 6 Case Studies 6.1 Do It Yourself Projects References Boosting Item Coverage in Session-Based Recommendation 1 Introduction 1.1 Motivation 1.2 Contributions 2 Background 2.1 Word Embeddings 2.2 BERT Language Model 2.3 Exploration and Exploitation 3 Related Works 3.1 Word2vec for Recommendation 3.2 Multi-armed Bandits for Recommendation 3.3 Session-Based Recommendation 3.4 Coverage in Recommendation 4 Proposed Model 4.1 Session Ranker 4.2 Skip-Gram Model 4.3 Epsilon-Greedy Model 5 Experiments 5.1 Datasets and Experimental Setup 5.2 Performance Evaluation 6 Conclusion References The Second-Person Standpoint and Moral Machine 1 Introduction 2 Second-Person Concept Cycle Network and Intersubjectivity 3 Psychological Distance and Construal Level Theory 4 The Knowledge Representation of Mindreading Under the Framework of Polyscheme 5 The Moral Machine Under the Polyscheme Framework from the Perspective of the Construction Concerning Intelligent Agents 6 Self and Mindreading 7 Conclusions References Author Index