Anmerkung: Intro -- Title Page -- Preface -- Organization -- Table of Contents -- Overview of Papers in 2006 Active Conceptual Modeling of Learning (ACM-L) Workshop -- Introduction -- Summary of Regular Papers -- Summary of Invited Papers -- Conclusion -- Architecture for Active Conceptual Modeling of Learning -- Introduction -- The Challenge -- An Enhanced Rewind Paradigm for Learning -- The Concept of "Database of Intention" -- Proposed Architecture -- Executable Conceptual Model Database Management System -- The Mass Interconnecting Persistent Storage -- Three Interrelated Modules -- Other Important Features and Capabilities -- Impact -- Possible Applications and Conclusion -- References -- Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling -- Introduction -- Provenance Semantics - The W7 Model -- Theoretic Basis - Bunge's Ontology and Other Philosophical Work -- Overview of the W7 Model -- What -- When -- Where -- How -- Who -- Which -- Why -- Active Conceptual Modeling with Provenance Annotations -- Conclusion and Future Research -- References -- Adaptive and Context-Aware Reconciliation of Reactive and Pro-active Behavior in Evolving Systems -- Introduction and Motivation -- Evolving Reactive Behavior -- The (ECA)^2 Paradigm -- Meta-triggers (and Condition vs. Event Duality) -- Domain Description and Reasoning -- Declarative Semantics of L_{EAR} and Hypothetical Reasoning -- Defeasibility and Exceptions -- Experimental Observations -- Related Works -- Concluding Remarks and Future Work -- A Common Core for Active Conceptual Modeling for Learning from Surprises -- Introduction -- Formal Foundation -- Metamodeling, Formal Representation, and Mathematical Model Theory -- Tunable Formalism -- Executable Models -- Closed vs. Open World Assumption -- Ontological Approach -- Fully Reified High Level Constructs. , A Common ACM-L Core -- Conclusion -- Actively Evolving Conceptual Models for Mini-World and Run-Time Environment Changes -- Introduction -- Need for ER* Model -- ER* Methodology -- ER* Methodology for Evolving Applications -- Template Selection Driven Evolution -- ER* Example of E-Contract Application -- Event Handling and Template Selection Mechanism for Evolving Applications -- Related Work -- Conclusion -- References -- Achievements and Problems of Conceptual Modelling -- Introduction -- Information Systems Design and Development -- Information System Models in General -- Towards a Science of Modelling -- The Documentation and Knowledge Gap in Information Systems Modelling -- Modelling in General and for Information Systems -- Modelling By Suites of Models -- Specification of Structuring -- Languages for Structure Specification -- Integrity Constraints -- Representation Alternatives -- Specification of Functionality -- Operations for Information Systems -- Dynamic Integrity Constraints -- Specification of Workflows -- Architecture of Database Engines -- Data Extraction Frameworks -- Specification of Interactivity -- Story Space -- Media Type Suite -- Integrating Specification Aspects into Co-design -- The Abstraction Layer Model for Information Systems Development -- The Co-design Methodology -- Conclusion -- Metaphor Modeling on the Semantic Web -- Introduction -- Metaphor and Simile -- Requirements for a Tool to Model Metaphor -- Metaphor Modeling by UML Diagram -- A Metaphor-Based System for the Semantic Web -- A Simple Sub-system for Defining Metaphors -- A Computer-Assisted Sub-system for Defining Metaphors -- An Automatic Sub-system for Defining Metaphors -- A Metaphor Query/Search Sub-system -- Applications for Metaphor-Based Systems -- Application of Metaphor-Based Systems in Education. , Application of Metaphor-Based Systems in Surprise Detection -- Summary -- References -- Schema Changes and Historical Information in Conceptual Models in Support of Adaptive Systems -- Introduction -- Dynamics in UML -- Version Control -- Software Evolution and Transformations -- Software Reuse -- Conclusions -- References -- Using Active Modeling in Counterterrorism -- Introduction -- Background -- Terrorist Network -- Active Modeling -- Intelligent Terrorism Detection System -- Intelligence Evaluation -- Relationship Simplification -- Threat Factor and Threat Pattern Finding -- Conclusion -- References -- To Support Emergency Management by Using Active Modeling: A Case of Hurricane Katrina -- Introduction -- Problems with Current Generic Disaster Process Model -- Weakness of Conventional Conceptual Modeling -- Active Modeling -- Analyzing Hurricane Katrina by Active Modeling Concepts -- Case Study -- Proposed Approach -- Conclusion -- References -- Using Ontological Modeling in a Context-Aware Summarization System to Adapt Text for Mobile Devices -- Introduction -- Related Work -- Ontologies for Context-Aware Summarization -- Architecture of the System -- The Summarization Process -- Conclusions -- References -- Accommodating Streams to Support Active Conceptual Modeling of Learning from Surprises -- Introduction -- Our Approach -- Active ER Model -- Our Framework -- Example -- The Classroom -- The Surprise -- Tackling the Surprise -- Related Work -- Conclusion -- Approaches to the Active Conceptual Modelling of Learning -- Introduction -- The Theory of Stratified Systems and Levels of Human Cognition -- Foundations of Conceptual Modelling -- Modelling Situations and Modelling Processes -- Modelling: The Beginning -- Active Conceptual Modelling -- Different Models in Different Situations -- Information, Conceptual Constructs and Models. , Stratified Description of the Human Cognition System and Its Information Content -- Accumulating Information as Possibly Actual Instances of Predefined or Potential Concepts -- Example -- Conceptual Modelling, Understanding and Learning -- Discussion -- References -- Spatio-temporal and Multi-representation Modeling: A Contribution to Active Conceptual Modeling -- Introduction -- Conceptual Modeling: The MADS Approach -- Structural Modeling -- Spatio-temporal Modeling -- Multi-representation Modeling -- Conclusions and Future Work -- References -- Postponing Schema Definition: Low Instance-to-Entity Ratio (LItER) Modelling -- Introduction -- Systems Issues in Conceptual Modelling -- Data Issues in Conceptual Modelling -- Late Binding the Conceptual Modelling -- LItER Modelling -- The LItER Schema -- The LItER Architecture -- Discussion -- Conclusions and Further Work -- Research Issues in Active Conceptual Modeling of Learning: Summary of Panel Discussions in Two Workshops (May 2006) and (November 2006) -- Introduction -- The First ACM-L Workshop -- Goal -- Summary of Findings -- The 2^{nd} Workshop: The First International ACM-L Workshop -- Goal -- Summary of Findings -- Future Directions -- Conclusion -- References -- Author Index.