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[null,"1.","Record Nr.",null,"UNISA996495570403316"]
[null,null,"Titolo",null,"Conceptual modeling : 41st international conference, ER 2022, Hyderabad, India, October 17-20, 2022, proceedings / / Jolita Ralyté  [and four others], editors"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-031-17995-1"]
[null,null,"Descrizione fisica",null,"1 online resource (446 pages)"]
[null,null,"Collana",null,"Lecture notes in computer science ; ; 13607"]
[null,null,"Disciplina",null,"005.74"]
[null,null,"Soggetti",null,"Database design"]
[{"$nulls":4},"Web databases"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Abstracts of Invited Keynotes -- Conceptual Modelling in the Age of Artificial Intelligence and Quantum Computing -- In an Increasingly Digital World, You Have to Put the People First -- Modeling and Software -- Threat Intelligence Modeling Using Graphs -- Contents -- Foundations of Conceptual Modeling -- A FAIR Model Catalog for Ontology-Driven Conceptual Modeling Research -- 1 Introduction -- 2 Methods and Materials -- 3 Catalog Structure -- 4 Catalog Statistics -- 4.1 Statistics on the Models -- 4.2 Statistics on the Metadata -- 5 FAIRness Evaluation -- 6 Relevance for Research -- 7 Related Work -- 8 Final Considerations -- References -- Incorporating Types of Types in Ontology-Driven Conceptual Modeling -- 1 Introduction -- 2 Background and Motivation -- 3 Extending UFO with High-Order Domain Endurant Types -- 4 Extending OntoUML with Support for High-Order Types -- 4.1 Stereotypes and Tagged Values -- 4.2 Revisiting the Ship Domain with the Extended Profile -- 4.3 Semantically-motivated Constraints for High-Order Types -- 4.4 Rules Involving UFO Classes in OntoUML -- 5 Related Work -- 6 Conclusion -- References -- Rethinking Model Representation - A Taxonomy of Advanced Information Visualization in Conceptual Modeling -- 1 Introduction -- 2 Related Approaches -- 3 Taxonomy Development Research Method -- 3.1 Problem Identification and Motivation -- 3.2 Solution Objectives -- 3.3 Design and Development -- 3.4 Demonstration and Evaluation -- 4 Taxonomy -- "]
[{"$nulls":4},"4.1 Presentation -- 4.2 Interaction -- 4.3 Data -- 5 Evaluation -- 6 Challenges and Limitations -- 7 Conclusions -- References -- Pattern Discovery in Conceptual Models Using Frequent Itemset Mining -- 1 Introduction -- 2 Requirements -- 3 Discovering Frequent Patterns -- 4 Evaluation -- 4.1 Experiment 1 -- 4.2 Experiment 2 -- 5 Related Work."]
[{"$nulls":4},"6 Final Considerations -- References -- Ontologies and their Applications -- Legal Power-Subjection Relations: Ontological Analysis and Modeling Pattern -- 1 Introduction -- 2 On (Legal) Powers -- 3 The UFO-L Power-Subjection Relator Pattern -- 3.1 Power and Subjection in UFO-L -- 3.2 The Legal Power-Subjection Relator Pattern -- 4 Case Study: Legal Power in Brazilian Tax Law -- 5 Related Work -- 6 Final Considerations -- References -- Atomically True Ontology Modelling: Residential Buildings -- 1 Introduction -- 2 Related Work -- 2.1 Shape Grammars and Facade Generation -- 2.2 Knowledge and Semantic Based PCG -- 3 Holistic PCG Using ATOM -- 3.1 Shortcomings of Current Research -- 3.2 ATOM Conceptual Framework -- 3.3 ATOM Grammar -- 3.4 ATOM: Residential Buildings -- 4 Example of an ATOM Grammar -- 4.1 Alternate Applications of the Residential Building ATOM Grammar -- 4.2 Results -- 5 Conclusion and Future Work -- References -- An Ontological Analysis of Digital Technology -- 1 Introduction -- 2 Literature Review -- 3 Theorizing Digital Objects -- 4 UFO and OntoUML -- 5 Theory of Digital Objects in OntoUML -- 6 Discussion -- 7 Conclusion -- References -- ``All the Things that Come and Go, Stop and Say Hello\": Towards an ontological account of how participants enter and exit events -- 1 Introduction -- 2 Background Notions -- 3 How Participants Enter and Exit Events -- 3.1 Engaging and Disengaging Events -- 4 Illustrative Example: A Train Trip -- 4.1 Boarding and Deboarding as Engaging and Disengaging Events -- 5 Concluding Remarks -- References -- Applications of Conceptual Modeling -- Characterizing Fake News: A Conceptual Modeling-based Approach -- 1 Introduction -- 2 Related Work -- 3 Characterization of Fake News -- 4 Conceptual Model -- 4.1 Attacker Sub-model -- 4.2 Fact Sub-model -- 4.3 Target Sub-model -- 5 Discussion -- 6 Conclusion."]
[{"$nulls":4},"References -- Modeling Lifelong Pathway Co-construction -- 1 Introduction -- 2 Requirements -- 3 Related Works -- 3.1 From Geographical Trajectories to Life Trajectories -- 3.2 The Need for a Model of Lifelong Pathways -- 4 The Lifelong Pathway Model -- 4.1 Functional Overview -- 4.2 Advice as the Essence of Co-construction -- 5 Automating the Advisor's Tasks -- 5.1 The Guidance System -- 5.2 Taking Advantage of the Lifelong Pathway Co-construction Model -- 6 Conclusion -- References -- LIREM: A Generic Framework for Effective Online Video Novelty Detection -- 1 Introduction -- 2 Related Work -- 2.1 Feature Cleaning -- 2.2 Video Anomaly Detection -- 3 LIREM Novelty Detection Framework -- 3.1 Iterative Outlier Detection -- 3.2 LSTM-Decoder Model -- 4 Experimental Evaluation -- 4.1 Experimental Setup -- 4.2 Evaluation Methodology -- 4.3 Effectiveness Evaluation -- 4.4 Efficiency Comparison -- 5 Conclusion -- References -- When IT Service Adoption Meets Behavioral Economics: Addressing Present Bias Challenges -- 1 Introduction -- 2 The Underlying Conceptual Model -- 2.1 Organizational Concepts -- 2.2 IT-Related Concepts -- 2.3 A Value-Based Service Adoption Model -- 3 Root-Cause Analysis of Economic Behavior -- 4 Preliminary Results -- 5 Related Work -- 5.1 IT Service Adoption Challenges and Solution Selection -- 5.2 Behavioral Economics and Its Roles in Information Systems Research -- 6 Summary and Future Research -- References -- Data Modeling and Analysis -- Discovery of Spatial Association Rules "]
[{"$nulls":4},"from Fuzzy Spatial Data -- 1 Introduction -- 2 Related Work -- 3 Running Example -- 4 Basic Concepts of Spatial Association Rules Mining -- 5 Fuzzy Spatial Data Handling -- 5.1 Fuzzy Regions and Fuzzy Topological Relationships -- 5.2 Spatial Plateau Algebra and Its Implementation -- 6 Discovery of Spatial Association Rules from Fuzzy Spatial Objects."]
[{"$nulls":4},"6.1 Architectural Overview -- 6.2 User Parameters -- 6.3 Spatial Data Layer -- 6.4 Spatial Data Handling Layer -- 6.5 Itemsets Handling Layer -- 6.6 Spatial Association Rules Retrieval Layer -- 7 Conclusions and Future Work -- References -- A Comprehensive Approach for the Conceptual Modeling of Genomic Data -- 1 Introduction -- 2 Background -- 3 Methodological Framework -- 4 Method Application: Modeling DNA Variation -- 4.1 Mapping with Real Datasets -- 4.2 Examples of Applications -- 5 Discussion and Conclusion -- References -- A Deep Learning Approach for Ideology Detection and Polarization Analysis Using COVID-19 Tweets -- 1 Introduction -- 2 Related Works -- 2.1 Polarization Detection Using Twitter -- 2.2 Adversarial Sample Generation and Emotion Classification -- 3 Data Preparation -- 4 Emotion Classification -- 4.1 Common Word Extractor -- 4.2 Adversarial Sample Generation -- 5 Political Ideology Detection -- 6 Experimental Result and Analysis -- 6.1 Hyperparameters of the Models -- 6.2 Evaluation Metrics -- 6.3 Experimental Results -- 6.4 COVID-19 Polarization Analysis -- 7 Conclusion and Future Work -- References -- Effective Generation of Relational Schema from Multi-Model Data with Reinforcement Learning -- 1 Introduction -- 2 The Overview of Approach Framework -- 2.1 Initial Relational Schema -- 2.2 Action -- 2.3 State -- 2.4 Policy -- 2.5 Reward and Goal -- 3 Experiment -- 4 Conclusion -- References -- Business Process -- Ontology-Supported Modeling of Bots in Robotic Process Automation -- 1 Introduction -- 2 Preliminaries -- 2.1 Ontology of RPA Operations -- 2.2 Business Process Modeling Ontology -- 3 Motivation -- 4 Extending the ORPAO by Process Aspects -- 4.1 Steering the Control Flow of RPA Bots -- 4.2 Adding Context Containers -- 4.3 Linking the Business Process Modeling Ontology -- 5 A Platform for Modeling Conceptual RPA Bots."]
[{"$nulls":4},"5.1 Components of the Modeling Platform -- 5.2 Prototype -- 6 Related Work -- 7 Conclusion -- References -- Stra2Bis: A Model-Driven Method for Aligning Business Strategy and Business Processes -- 1 Introduction -- 2 Related Work -- 3 The Stra2Bis Method -- 3.1 Step 1: Current Business Process Model (Working Example) -- 3.2 Step 2: Business Strategy Modelling by Strategic Scenario -- 3.3 Step 3: Business Process Modelling by Alignment-Driven Transformation -- 3.4 Effects on the PIM Level in an MDA Context -- 4 Initial Evaluation and Discussion -- 5 Conclusions and Future Work -- References -- Online Decision Mining and Monitoring in Process-Aware Information Systems -- 1 Introduction -- 2 Decision Rule Mining and Monitoring -- 3 Evaluation -- 4 Discussion -- 5 Related Work -- 6 Conclusion -- References -- OPerA: Object-Centric Performance Analysis -- 1 Introduction -- 2 Related Work -- 3 Background -- 4 Object-Centric Performance Analysis -- 4.1 Replaying OCELs on OCPNs -- 4.2 Measuring Object-Centric Performance Measures -- 5 Case Study -- 6 Conclusion -- References -- Quality and Performance -- Bidirectional Relation Attention for Entity Alignment Based on Graph Convolutional Network -- 1 Introduction -- 2 Related Work -- 2.1 Entity Alignment Based on Translation Models -- 2.2 Entity Alignment Based on GCN -- 3 Methodology -- 3.1 Problem Formulation -- 3.2 Model Architecture -- 3.3 KG Structure Embedding Based on GCN -- 3.4 Relation Embedding -- 3.5 Bidirectional Relation Aggregation -- 3.6 Entity "]
[{"$nulls":4},"Alignment -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimental Settings -- 4.3 Main Results -- 4.4 Ablation Experiment -- 5 Conclusion -- References -- A Behavioural Analysis of Metadata Use in Evaluating the Quality of Repurposed Data -- 1 Introduction -- 2 Related Work -- 3 Study Design -- 3.1 Platform Design -- 3.2 Task Design -- 4 Results."]
[{"$nulls":4},"4.1 Task Performance."]