Conceptual modeling--ER 2002 : 21st International Conference on Conceptual Modeling, Tampere, Finland, October 7-11, 2002 : proceedings

For more than 20 years, the series of Conceptual Modeling – ER conferences has provided a forum for research communities and practitioners to present and - change research results and practical experiences in the ?elds of database design and conceptual modeling. Throughout the years, the scope of these conferences has extended from database design and speci?c topics of that area to more u- versal or re?ned conceptual modeling, organizing originally weak or ill-structured information or knowledge in more cultured ways by applying various kinds of principles, abstract models, and theories, for di?erent purposes. At the same time, many technically oriented approaches have been developed which aim to facilitate the implementation of rather advanced conceptual models. Conceptual modeling is based on the process of conceptualization, and it is the core of system structuring as well as justi?cation for information systems development. It supports and facilitates the understanding, explanation, pred- tion, and reasoning on information and knowledge, and their manipulation in the systems, in addition to understanding and designing the functions of the systems. The conceptualization process aims at constructing concepts relevant for the knowledge and information system in question. Concepts in the human mind and concept descriptions in computerized information systems are quite di?erent things by nature, but both should be taken into account in conceptual modeling. Usually concept descriptions are properly observed, but concepts in the human mind and their properties are often neglected quite carelessly. Conceptual Modeling . ER 2002 Foreword Preface ER 2002 Conference Organization Table of Contents Conceptual Modelling and Ontology: Possibilities and Pitfalls An Ontology for m-Business Models Introduction Research in m-Business Applications, Issues and Actors in m-Business Ontology for m-Business Models Conclusion References Modeling Dynamics of Business Processes: Key for Building Next Generation of Business Information Systems Ontology-Driven Conceptual Modelling Advanced OO Modelling: Metamodels and Notations for the New Millennium References Ontology-Driven Conceptual Modelling: Advanced Concepts Workflow Management in Electronic Commerce Introduction Intra-organizational Workflow Management Cross-Organizational Workflow Management Workflow Management in Dynamic Service Outsourcing Do We Need an Ontology of Ontologies? Development of a Conceptual Data Model for Digital Spatio-Temporal Geographical Information, with Application to Several Themes and GIS Using Semantic Rules Database to Dynamically Set up the ICSpace Virtual Building Introduction The Proposal On the Transformation of Object Oriented Conceptual Models to Logical Theories: From EROOS to ID-Logic References Component Construction of Database Schemes Introduction Component Construction Based on Dimensionality Star and Snowflake Sub-schemata as Building Blocks Composition of Sub-schemata General Composition Constructors Main Composition Operations Deriving Other Operations for Component Construction Concluding References Multirelational Semantics for Extended Entity-Relationship Schemata With Applications Introduction The Categorical View of Binary Relations Straight To Multirelations Composition Schemata and Instances Instances Checking Subtyping and Ownership The Algorithm Running Time References A Meta-model for e-Contract Template Variable Dependencies Facilitating e-Negotiation Introduction Motivating Example A Meta-Model for e-Contract Templates Template Variable Relations and e-Negotiation Plan Indivisible Components of Variables Partial Ordering of Variables Derivation of Negotiation Plans A Model for e-Negotiation of Contracts e-Negotiation Conceptual Model e-Negotiation Process Model Facilitating the e-Negotiating Process with E-ADOME WFMS Related Work Conclusion and Future Work References On the General Ontological Foundations of Conceptual Modeling Introduction Basic Elements of the Upper Level Ontology of GOL Urelements and Sets Individuals Universals Relations and Relational Universals Basic Ontological Relations Ontological Foundations of the UML Classes and Objects DataType Powertype Abstract Class Association The Bunge-Wand-Weber (BWW) Ontology Things and Substances Properties and Moments Natural Kinds and Universals Other Related Work Conclusions References Finding and Characterizing Changes in Ontologies Ontologies as Conceptual Models on the Web The Update Relation between Ontologies General Description of OntoView Comparing Ontologies Types of Change Detecting Changes Rules for Changes Specifying the Conceptual Implication of Changes Conclusion References Superimposed Schematics: Introducing E-R Structure for In-Situ Information Selections Introduction A Data Model for Superimposed Schematics The Basic Schematics Data Model Marks and Constraints Schematic Instances Schematic-Based Addressing Opaque versus Transparent Marks Addressability Constraints The Schematic Addressing Language Related Work Summary and Future Work References Web Extensions to UML: Using the MVC Triad Introduction Scope,Objectives and Approach Extension Model Structure The MVC Concept Extended Conceptual Model Information Architecture Functional Architecture UML Diagram Extensions Using the Extended UML Diagrams Requirements Engineering and Conceptual Design Architectural Design Potential Improvements Summary References Wiccap Data Model: Mapping Physical Websites to Logical Views Introduction Motivation The WICCAP Approach Paper Overview Wiccap Data Model WDM Schema and Mapping Rules WDM Elements Locator Link Form Mapping Item Record Region Complete WDM Schema An Example on BBC Online News WDM Creation Process Basic Logical Structure Construction Content Extraction Definition Mapping Rule Generation Testing and Finalization Implementation Assistant Tools Graphical User Interface Related Work Conclusion References Representing and Querying Semistructured Web Data Using Nested Tables with Structural Variants Introduction Basic Concepts and Notation Expressiveness of Nested Tables for Representing Semistructured Web Data Query Operations for Nested Tables QSByE Conclusions and Directions for Future Work References On the Transformation of Object-Oriented Conceptual Models to Logical Theories Introduction Object-Oriented Conceptual Modeling in EROOS Logical Theories The Language and Its Semantics Computing Models Using the Asystem Extensions of ID-Logic Transformation of EROOS Conceptual Models to ID-Logic Theories Transformation of Classes and Domains Transformation of Relations and Attributes Transformation of Generalization/Specialization Partitioning Constraints. Strengthening. Transforming Explicit Constraints Transforming EROOS Queries Solving Tasks General Notes on Tasks Database Querying Scheduling Some Remarks Conclusion and Future Work References Reasoning with Goal Models Introduction An Example Qualitative Reasoning with Goal Models Axiomatization of goal relationships The label propagation algorithm Termination and complexity Soundness and completeness Quantitative Reasoning with Goal Models An extended framework Axiomatization The label propagation algorithm Soundness and completeness Termination Experimental Results Conclusions References Registering Scientific Information Sources for Semantic Mediation Introduction Modeling Source Semantics Conceptual Model of the Source Mediator Information from the Source's Viewpoint Context Specification Language CSL Registration Process Conclusion References Multidimensional Modeling with UML Package Diagrams Introduction Related Work Object-Oriented Multidimensional Modeling Package Design Guidelines for Multidimensional Modeling Applying Package Design Guidelines: a Case Study Definition of Package Stereotypes Using Multidimensional Modeling in Rational Rose Conclusions and Future Work References Comparative Evaluation of Large Data Model Representation Methods: The Analyst's Perspective Introduction The Problem of Complexity in Data Models Levelled Data Models Research Questions The Method Evaluation Model Adoption of IS Design Methods A Theoretical Model for Evaluating IS Design Methods Research Design Research Method Selection Identifying Methods for Comparison Experimental Design Independent Variable Dependent Variables Hypotheses Research Question 1: Comparison Between Methods Research Question 2. Adoption in Practice: Validation of Causal Relationships. Finally, we posit a number of relationships between dependent variables, based on the causal relationships defined in the Method Evaluation Model. Participants Experimental Treatment Materials Experimental Task Results and Discussion Research Question 1: Comparison of Methods Research Question 2: Adoption in Practice Validation of Method Evaluation Model Conclusion Summary of Findings Practical Significance Theoretical Significance Strengths and Limitations of the Research Further Research References Extracting Conceptual Relationships from Specialized Documents Introduction Conceptual Model System Implementation Preprocessing Segmentation Merging Interface An Empirical Study Accuracy Evaluation Usability Evaluation Discussion Conclusions References A Transactional Model for Data Warehouse Maintenance Introduction Data Warehouse Environments Motivating Example of the DW Maintenance Anomaly Problems Contributions of this Work DWMS_Transaction: Transactional Modeling of DW Maintenance Transactions in a Data Warehouse Environment A Transactional Model: DWMS_Transaction DWMS_Transaction Scheduling Conflicts between DWMS_Transactions Serializability of DWMS_Transactions Multiversion Concurrency Control Algorithm for DWMS_Transactions Wrapper Materialization Version Management TxnWrap: A Multiversion Algorithm for DW Maintenance Experimental Evaluation Experimental Testbed and Setup Data Update Processing Schema Change Processing Related Work Conclusions References The Account Data Model Introduction The Account Data Model Modelling Dimensions for Data Warehousing Dimension Accounts Modelling Dimension Hierarchies Modelling Dimension Time Modelling Dimension Transaction Components Implementation of the ADM ADM and A-priori Optimization: Conclusion References A Semantic Model for Hypertext Data Caching Introduction Modeling Cached Hypertext Data Physical Structure of Hypertext Data Logical Documents: Logical Structure of Hypertext Data Semantic Region: Semantic Structure of Hypertext Data HyperDB, Benchmarking Hypertext Semantic Caching HyperDB, A Virtual Hypertext Database Generating Accesses to HyperDB Semantic Caching for HyperDB Size-Adjusted LRU-K (LRU-K-S) Structure-Aware Caching (LRU-K-T) Popular Path-Aware Caching (LRU-K-P) Content-Sensitive Caching (LRU-K-C) Experimental Evaluation Conclusion and Future Work References Understanding and Simulating Narratives in the Context of Information Systems Introduction Logical Framework Syntax Semantics Three-Level Conceptual Modelling The Overall Architecture Understanding Narratives Plan Recognition Construction of Libraries of Typical Plans Simulating Narratives Presenting Narratives Generating Texts Generating 3D Animations Concluding Remarks References Global Schema Generation Using Formal Ontologies Introduction Related Work Overview Merging Ontologies Global Schema Generation Class Integration Filling Classes with Attributes Data Mapping Conclusion References Automatically Extracting Ontologically Specified Data from HTML Tables of Unknown Structure Introduction Matching Problems Matching Solutions---Our Contribution Extraction Ontologies Derivation of Source-to-Target Schema Mappings Form Attribute-Value Pairs Adjust Attribute-Value Pairs Perform Extraction Infer Mappings Experimental Results and Discussion Results Discussion Conclusion On the Expressive Power of Data Integration Systems Introduction Framework for Data Integration Comparing LAV and GAV without Constraints Comparing LAV and GAV with Constraints Discussion References Property-Based Semantic Reconciliation of Heterogeneous Information Sources Introduction Semantic Interoperability in Heterogeneous Systems Semantic Interoperability in Databases Semantic Interoperability in Semi-structured Sources The Root Problem and a Candidate Resolution Property Precedence as a Basis for Semantic Reconciliation Foundations Toward a Precedence Algebra Using Precedence to Support Interoperability Operational Similarity A Precedence-Based Methodology for Supporting Interoperability Queries in a Precedence-Based Environment An Example Implementation Issues Conclusions and Further Research References Conceptual integration of multiple partial geometric models Introduction Preliminaries Representations Query rewriting Geometric Functions The Query rewriting process Future Directions References Evaluating the Quality of Process Models: Empirical Testing of a Quality Framework Introduction The Importance of Conceptual Model Quality Previous Research Conceptual Model Quality Framework Objectives of this Paper Research Methodology Validation of IS Design Methods Research Design Participants Participants Experimental Treatment Experimental Tasks Dependent Variables Theoretical Model Results and Discussion Summary of Analyses Reliability Analysis Validity Analysis Weighting of Quality Categories Interaction Analysis Task Accuracy Likelihood of Adoption in Practice Analysis of Causal Relationships Conclusion Summary of Findings Theoretical Significance Limitations and Further Research References Data Quality in Web Information Systems Introduction Definition of Data Quality Dimensions Dynamics of Data Quality Dimensions Temporal Dynamics of Expiration: Volatility. Temporal Dynamics of Completeness: Completability. Modeling Data Quality WIS Design Methodology A General Hyperbase Data Model for Data Quality A Methodological Framework for Data Quality Management in WIS's Definition Phase Publishing Phase Static Measurement. Dynamic Measurement. Monitoring. Cleaning Phase An Architecture Related Work Concluding Remarks References Conceptual Modeling Quality - From EER to UML Schemas Evaluation Introduction Related Literature A Framework for Conceptual Quality Evaluation The Specification Dimension The Usage Dimension The Implementation Dimension Case Study: Hospital Management Extending the Framework to UML Conceptual Schemas Applying the Framework to UML Schemas Taking into Account Specific Features of UML Conclusion and Future Work References Conceptual Modeling for Customized XML Schemas Introduction XML Schema Designer Architecture and Modules Algorithms for XML Schema Designer Algorithms for Generating Conceptual Hierarchical View from EER Model Generating XML Schema and Instance Documents from Conceptual Hierarchical View Conclusion and Future Work References Figures A Flexible Cost Model for Abstract Object-Oriented Database Schemas Introduction Cost Driven Design Related Work Outline of the Paper Abstract Database Machine Cost Evaluation Space Cost Estimation Time Cost Estimation Cost Statements Cost Functions Aggregation Function Conclusion Example Programs Cost Parameters Space Costs Time Costs Cost Estimation Summary Designing Valid XML Views Introduction Preliminaries ORA-SS Data Model View Definition Language Valid XML Views Design Motivating Example Transformation of XML into ORA-SS Semantic Enrichment of ORA-SS Validity of XML Views Selection Operation Projection Operation Join Operation Swap Operation Design Rules for IDentifier Dependency Relationship View Validation Algorithm Related Work Conclusions References Appendix: XML Document and XQuery in the Paper Author Index Conceptual Modelling And Ontology: Possibilities And Pitfalls / Ron Weber -- On Ontology For M-business Models / Yves Pigneur -- Modeling Dynamics Of Business Processes: Key For Building Next Generation Of Business Information Systems / Ilia Bider And Paul Johannesson -- Ontology-driven Conceptual Modelling / Nicola Guarino And Luc Schneider -- Advanced Oo Modelling: Metamodels And Notations For The New Millennium / Brian Henderson-sellers -- Ontology-driven Conceptual Modelling: Advanced Concepts / Nicola Guarino And Luc Schneider -- Workflow Management In Electronic Commerce / Paul Grefen -- Do We Need An Ontology Of Ontologies? / Heinrich C. Mayr. Stefano Spaccapietra, Salvatore T. March, Yahiko Kambayashi (eds.). Includes Bibliographical References And Index.