Conceptual Modeling - ER 2006 [electronic resource] : 25th International Conference on Conceptual Modeling, Tucson, AZ, USA, November 6-9, 2006, Proceedings /
International Conference on Conceptual ModelingCorporate Author
International Conference on Conceptual Modeling(25th :2006 :Tucson, Ariz.)
Embley, David W.editor.
Olivé, Antoni.editor.
Ram, Sudha.editor.
Conceptual modeling has long been recognized as the primary means to enable so- ware development in information systems and data engineering. Nowadays, conc- tual modeling has become fundamental to any domain in which organizations have to cope with complex, real-world systems. Conceptual modeling fosters communi- tion between information systems developers and end-users, and it has become a key mechanism for understanding and representing computing systems and environments of all kinds, including the new e-applications and the information systems that support them. The International Conference on Conceptual Modeling provides the premiere - rum for presenting and discussing current research and applications in which the - jor emphasis is on conceptual modeling. Topics of interest span the entire spectrum of conceptual modeling including research and practice in areas such as theories of c- cepts and ontologies underlying conceptual modeling, methods and tools for devel- ing and communicating conceptual models, and techniques for transforming conc- tual models into effective implementations. Moreover, new areas of conceptual mod- ing broaden its application to include interdependencies with knowledge-based, lo- cal, linguistic, and philosophical theories and approaches. The conference also makes major strides in fostering collaboration and exchange between academia and industry. In this year’s conference, research papers focused on XML, Web services, business modeling, conceptual modeling applied to human-computer interaction, quality in conceptual modeling, conceptual modeling applied to interoperability, requirements modeling, reasoning, the Semantic Web, and metadata management. The call for papers attracted 158 research papers, whose authors represent 27 different countries.
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references and index.
Keynote Papers -- Suggested Research Directions for a New Frontier – Active Conceptual Modeling -- From Conceptual Modeling to Requirements Engineering -- Web Services -- A Context Model for Semantic Mediation in Web Services Composition -- Modeling Service Compatibility with Pi-calculus for Choreography -- The DeltaGrid Abstract Execution Model: Service Composition and Process Interference Handling -- Quality in Conceptual Modeling -- Evaluating Quality of Conceptual Models Based on User Perceptions -- Representation Theory Versus Workflow Patterns – The Case of BPMN -- Use Case Modeling and Refinement: A Quality-Based Approach -- Aspects of Conceptual Modeling -- Ontology with Likeliness and Typicality of Objects in Concepts -- In Defense of a Trope-Based Ontology for Conceptual Modeling: An Example with the Foundations of Attributes, Weak Entities and Datatypes -- Explicitly Representing Superimposed Information in a Conceptual Model -- Modeling Advanced Applications -- Preference Functional Dependencies for Managing Choices -- Modeling Visibility in Hierarchical Systems -- A Model for Anticipatory Event Detection -- XML -- A Framework for Integrating XML Transformations -- Oxone: A Scalable Solution for Detecting Superior Quality Deltas on Ordered Large XML Documents -- Schema-Mediated Exchange of Temporal XML Data -- A Quantitative Summary of XML Structures -- Semantic Web -- Database to Semantic Web Mapping Using RDF Query Languages -- Representing Transitive Propagation in OWL -- On Generating Content and Structural Annotated Websites Using Conceptual Modeling -- Requirements Modeling -- A More Expressive Softgoal Conceptualization for Quality Requirements Analysis -- Conceptualizing the Co-evolution of Organizations and Information Systems: An Agent-Oriented Perspective -- Towards a Theory of Genericity Based on Government and Binding -- Aspects of Interoperability -- Concept Modeling by the Masses: Folksonomy Structure and Interoperability -- Method Chunks for Interoperability -- Domain Analysis for Supporting Commercial Off-the-Shelf Components Selection -- Metadata Management -- A Formal Framework for Reasoning on Metadata Based on CWM -- A Set of QVT Relations to Assure the Correctness of Data Warehouses by Using Multidimensional Normal Forms -- Design and Use of ER Repositories: Methodologies and Experiences in eGovernment Initiatives -- Human-Computer Interaction -- Notes for the Conceptual Design of Interfaces -- The User Interface Is the Conceptual Model -- Towards a Holistic Conceptual Modelling-Based Software Development Process -- Business Modeling -- A Multi-perspective Framework for Organizational Patterns -- Deriving Concepts for Modeling Business Actions -- Towards a Reference Ontology for Business Models -- Reasoning -- Reasoning on UML Class Diagrams with OCL Constraints -- On the Use of Association Redefinition in UML Class Diagrams -- Optimising Abstract Object-Oriented Database Schemas -- Panels -- Experimental Research on Conceptual Modeling: What Should We Be Doing and Why? -- Eliciting Data Semantics Via Top-Down and Bottom-Up Approaches: Challenges and Opportunities -- Industrial Track -- The ADO.NET Entity Framework: Making the Conceptual Level Real -- XMeta Repository and Services -- IBM Industry Models: Experience, Management and Challenges -- Community Semantics for Ultra-Scale Information Management -- Managing Data in High Throughput Laboratories: An Experience Report from Proteomics -- Policy Models for Data Sharing -- Demos and Posters -- Protocol Analysis for Exploring the Role of Application Domain in Conceptual Schema Understanding -- Auto-completion of Underspecified SQL Queries -- iQL: A Query Language for the Instance-Based Data Model -- Designing Under the Influence of Speech Acts: A Strategy for Composing Enterprise Integration Solutions -- Geometry of Concepts.
Conceptual modeling has long been recognized as the primary means to enable so- ware development in information systems and data engineering. Nowadays, conc- tual modeling has become fundamental to any domain in which organizations have to cope with complex, real-world systems. Conceptual modeling fosters communi- tion between information systems developers and end-users, and it has become a key mechanism for understanding and representing computing systems and environments of all kinds, including the new e-applications and the information systems that support them. The International Conference on Conceptual Modeling provides the premiere - rum for presenting and discussing current research and applications in which the - jor emphasis is on conceptual modeling. Topics of interest span the entire spectrum of conceptual modeling including research and practice in areas such as theories of c- cepts and ontologies underlying conceptual modeling, methods and tools for devel- ing and communicating conceptual models, and techniques for transforming conc- tual models into effective implementations. Moreover, new areas of conceptual mod- ing broaden its application to include interdependencies with knowledge-based, lo- cal, linguistic, and philosophical theories and approaches. The conference also makes major strides in fostering collaboration and exchange between academia and industry. In this year’s conference, research papers focused on XML, Web services, business modeling, conceptual modeling applied to human-computer interaction, quality in conceptual modeling, conceptual modeling applied to interoperability, requirements modeling, reasoning, the Semantic Web, and metadata management. The call for papers attracted 158 research papers, whose authors represent 27 different countries.
Database management.
Application software.
Mathematical logic.
Artificial intelligence.
Computers.
Software engineering.
Database Management.
Information Systems Applications (incl. Internet).
Mathematical Logic and Formal Languages.
Artificial Intelligence.
Models and Principles.
Software Engineering.

Lecture Notes in Computer Science