Contents. 1 A Tribute to Antoni Olivé on the Occasion of His Retirement... 1 Janis Bubenko, Colette Rolland and Arne Sølvberg

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1 Contents 1 A Tribute to Antoni Olivé on the Occasion of His Retirement Janis Bubenko, Colette Rolland and Arne Sølvberg 2 30 Years of Contributions to Conceptual Modeling Jordi Cabot, Cristina Gómez, Maria-Ribera Sancho and Ernest Teniente 2.1 Introduction The Deductive Approach to Conceptual Modeling Techniques for Deductive Conceptual Models Deductive Databases Deductive Conceptual Models Object-Oriented Deductive Conceptual Models Object-Oriented Conceptual Schemas: definition and evolution Definition Evolution Conceptual Schema-Centric Development Very large conceptual schemas Quality in modeling Conclusions Modeling Life: A Conceptual Schema-centric Approach to Understand the Genome Óscar Pastor López, Ana León Palacio, José Fabián Reyes Román and Juan Carlos Casamayor 3.1 Introduction Conceptual Schema of the Human Genome (CSHG) SILE Methodology and Data Quality SILE Methodology Data Quality Conclusions and Future Work vii

2 viii Contents 4 Strategic Reading & Conceptual Modeling Oscar Díaz 4.1 Introduction Student Reading Experience Coupling MindMeister & Mendeley The RCA tool: MindMeister The reading tool: Mendeley The coupling DScaffolding at work Conducting RCA Setting RCA issues Strategic Reading Back to conducting RCA Conclusions Conceptual Modeling for Indicator Selection Alejandro Maté, Juan Trujillo and John Mylopoulos 5.1 Introduction Related Work A Methodology for Eliciting and Selecting Business Indicators Business Modeling and Indicator Metamodel Analysis Model Update Case Study: Performance Indicators for Water Supply Management Discussion and Limitations Conclusions and Future Work Conceptual Modeling in Accelerating Information Ingest into Family Tree David W. Embley, Stephen W. Liddle, Tanner S. Eastmond, Deryle W. Lonsdale, Joseph P. Price and Scott N. Woodfield 6.1 Introduction Fe6 Pipeline Import Book Run Extraction Tools Merge Extracted Information Check Quality Enhance Data Update Tree Project Status Human Oversight of Automated Updates Pipeline Implementation Initial Field Tests Conclusions

3 Contents ix 7 Model Centered Architecture Heinrich C. Mayr, Judith Michael, Suneth Ranasinghe, Vladimir A. Shekhovtsov and Claudia Steinberger 7.1 Introduction Motivation Related Work The Paper s Aim The Model Centered Perspective Background: Models and Metamodels MCA: The Concept Running examples Models in QuASE and HBMS Models in QuASE Models in HBMS Model Centered Interfacing Model Centered Interfacing in QuASE Model Centered Activity Recognition Interface Operating Instruction Integration Model Centered User Interface MCA: Patterns and Implementation Examples Architectural Patterns for MCA solutions Concrete MCA: Pattern Usage in Development Processes Conclusions and Future Work Design-time Models for Resiliency Andrea Marrella, Massimo Mecella, Barbara Pernici and Pierluigi Plebani 8.1 Introduction The Approach Resiliency Scenarios Modeling Processes and Data for Resiliency Modeling Processes Modeling Time Varying Information Analyzing Resiliency Data Properties Related Work Conclusions and Future Work Web System Development Using Polymorphic Widgets and Generic Schemas Scott Britell, Lois M. L. Delcambre and Paolo Atzeni 9.1 Introduction Background Canonical Structures Widgets Mappings Query Rewriting

4 x Contents 9.4 Evaluation Related Work Conclusions Model-Based Engineering for Database System Development Bernhard Thalheim 10.1 Models in Computer Science and Computer Engineering The Model Multi-Model Modelling Science and Engineering Co-Models and Model Suites in CS&CE Model-Based Engineering as Specific Model-Based Reasoning The Objectives of the Paper A Case Study for Structure-Representing Co-Models Co-Models: Business Data Models and Conceptual Models Co-Models: Conceptual Models and Logical Models Co-Models: Conceptual Co-Design of Structuring and Functionality Lessons Learned for Model-Based Engineering The First Principle of Modelling Logoi of Modelling Scenarios and Resulting Functions of Models Engineering for Vertical Co-Models Database Development with Vertical Co-Models Model-Based Engineering with Co-Models Conceptual Models as Mediators Within a Model Suite The Dichotomy of Description and Prescription for eer Models Some Modelling Logos of ER Modelling Conclusions Quality Improvement of Conceptual UML and OCL Schemata through Model Validation and Verification Martin Gogolla and Khanh-Hoang Doan 11.1 Introduction Validation and Verification Use Cases Use Cases Applied in a Conceptual Modeling Example Model Consistency Property Satisfiability Constraint Independence Partial Solution Completion Related Work Conclusions and Future Work

5 Contents xi 12 Creating Worlds with Words: Ontology-guided Conceptual Modeling for Institutional Domains Paul Johannesson, Maria Bergholtz and Owen Eriksson 12.1 Introduction Related Work The Construction of Social Reality The REA Ontology Business Process Management Research Setting and the Consultation Case Research Setting The Consultation Case The Institutional Ontology Institutional Rights Institutional Entities Rules and Institutional Functions Institutional Processes Domain Model for the Consultation Case Institutional Subjects Institutional Information and Informational Content Rules and Institutional Functions Institutional Rights and Institutional Contracts Institutional Processes Discussion and Conclusions Quality of Conceptual Models in Model Driven Software Engineering John Krogstie 13.1 Introduction Quality of Models The SEQUAL Framework SEQUAL specialized for conceptual models used for model-driven software development Physical Quality Empirical quality Syntactic quality Semantic quality Pragmatic quality Social quality Deontic quality Conclusions A Unified Conceptual Framework for Managing Services in the Web Oriented Architecture Devis Bianchini, Valeria De Antonellis and Michele Melchiori 14.1 Introduction Related Work Multi-Perspective Conceptual Model

6 xii Contents Motivations Representation of data providing services Model-based service search and ranking Service request Developers credibility evaluation and ranking Service selection and ranking The WISeR system for service selection Conclusions and Future Work Handling the Evolution of Information Systems: An Overview of Challenges and Prospective Solutions Michel Léonard and Jolita Ralyté 15.1 Introduction A Service-Oriented Perspective to IS Information Service Information Services System Designing Information Services Systems IS Evolution Steering A Framework for IS Evolution Steering IS-SM Evolution Metamodel Ispace/Rspace Evolution Steering Method Conclusions On Warehouses, Lakes, and Spaces: The Changing Role of Conceptual Modeling for Data Integration Matthias Jarke and Christoph Quix 16.1 Introduction Conceptual Model Formalization and Model Management for Data Warehouse Integration Generic Modeling Languages for Heterogeneous Sources Role-Based Generic Metamodeling Generic Mappings Conceptual Modeling and Integration for Data Lakes Conclusions: From Data Lakes to Data Spaces A Method for Emerging Technology Evaluation. Application to Blockchain and Smart Data Discovery Jacky Akoka and Isabelle Comyn-Wattiau 17.1 Introduction State of the Art Our Approach The Guiding Method Application to Blockchain and Smart Data Discovery The case of Blockchain (BC)

7 Contents xiii The case of Smart Data Discovery Hierarchies Comparison Conclusions and Future Work The Early Days of Entity-Relationship Modeling Retrospective on Dataid Project and Beyond Carlo Batini and Stefano Ceri 18.1 Conceptual Modeling: An historical Perspective DATAID The Method Conceptual Design Book Antoni Olivé

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