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دانلود کتاب Conceptual Modeling. 41st International Conference, ER 2022 Hyderabad, India, October 17–20, 2022 Proceedings

دانلود کتاب مدل سازی مفهومی چهل و یکمین کنفرانس بین المللی، ER 2022 حیدرآباد، هند، 17 تا 20 اکتبر 2022 مجموعه مقالات

Conceptual Modeling. 41st International Conference, ER 2022 Hyderabad, India, October 17–20, 2022 Proceedings

مشخصات کتاب

Conceptual Modeling. 41st International Conference, ER 2022 Hyderabad, India, October 17–20, 2022 Proceedings

ویرایش:  
نویسندگان: , , , ,   
سری: Lecture Notes in Computer Science, 13607 
ISBN (شابک) : 9783031179945, 9783031179952 
ناشر: Springer 
سال نشر: 2022 
تعداد صفحات: 446 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 31 مگابایت 

قیمت کتاب (تومان) : 82,000

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فهرست مطالب

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
		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
	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
	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 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
		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
		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 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
		4.1 Task Performance
		4.2 Metadata and Task Performance
		4.3 Strategies of Metadata Use
	5 Limitations
	6 Conclusions
	References
Modeling Context for Data Quality Management
	1 Introduction
	2 Related Work
	3 Context Model for Data Quality Management
		3.1 Running Example
		3.2 Context
		3.3 Data Quality
		3.4 Influence of the Context Model on DQ Modeling
	4 Conclusions
	References
A Modeling Rule for Improving the Performance of Graph Models
	1 Introduction
	2 Preliminaries
	3 Critical Discussion of Intuitive Graph Modeling
	4 Towards a Filter-Based Graph Model
	5 Experimental Evaluation
	6 Related Work
	7 Conclusions and Future Work
	References
Security, Privacy and Risk Management
Object Normal Form, Fourth Normal Form and Their Application to Database Security
	1 Introduction
	2 Related Work
	3 Preliminaries
	4 Weak Objects
	5 Weak Object Normal Form
	6 Objects
	7 Object Normal Form
	8 Application to Database Security
		8.1 Motivating Example
		8.2 Reducing Inference to Access Control on Schemata in ONF
		8.3 Tigthness of the Conditions
		8.4 Extension to Multivalued Dependencies
	9 Conclusion and Future Work
	References
An Ontology of Security from a Risk Treatment Perspective
	1 Introduction
	2 Requirements for a Reference Ontology of Security
	3 Ontological Foundations of Prevention
	4 A Reference Ontology for Security Engineering (ROSE)
		4.1 Extending the Common Ontology of Value and Risk
		4.2 Unpacking the Notion of Security Mechanism
	5 Evaluation
	6 Related Work
	7 Final Considerations
	References
Modeling Cybercrime with UFO: An Ontological Analysis of Non-Consensual Pornography Cases
	1 Introduction
	2 Related Work
		2.1 National Criminal Law Ontologies in the Literature
	3 Ontological Analysis
		3.1 Problem Statement
	4 Model
		4.1 Legal Roles
		4.2 Right to Privacy of an Intimate Media
		4.3 Uploading a Protected Private Media Online
		4.4 Violation of Depicted Person\'s Right to Privacy
	5 Preliminary Evaluation
		5.1 Real Cases
		5.2 Experts Analysis
		5.3 Model Instantiation and Facts Classification
	6 Final Considerations
	References
Goals and Requirements
Modeling Rates of Change and Aggregations in Runtime Goal Models
	1 Introduction
	2 Case Study: Cybersecurity
	3 Related Work
	4 Goals for Change and Aggregation
	5 Cybersecurity Use Case and Goal Model
		5.1 The Kubernetes Framework
		5.2 Goal Model
		5.3 Goal Reasoner Implementation
	6 Conclusions
	References
Trying to Elicit and Assign Goals to the Right Actors
	1 Introduction
	2 Looking for a Methodology
	3 Our Approach
	4 Application to Our Industrial Problem
		4.1 Modus Operandi
		4.2 Goal Elicitation and Assignation
	5 Conclusion
	References
Law Modeling for Fairness Requirements Elicitation in Artificial Intelligence Systems
	1 Introduction
	2 Related Work
	3 How Fairly Meet Legal Requirements in Artificial Intelligence Algorithms
		3.1 Dataset Description
		3.2 Modeling Legal Requirements by Using Nòmos 3
		3.3 Fairness Elicitation and Interpretation Process
	4 Conclusions and Future Work
	References
Author Index




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