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Conceptual modeling has long been recognized as the primary means to enable software development in information systems and data engineering. Conceptual modeling provides languages, methods and tools to understand and represent the application domain; to elicit, conceptualize and formalize system requirements and user needs; to communicate systems designs to all stakeholders; and to formally verify and validate systems design on high levels of abstraction. Recently, ontologies added an important tool to conceptualize and formalize system specification. The International Conference on Conceptual Modeling ER provides the premiere forum for presenting and discussing current research and applications in which the major emphasis is centered on conceptual modeling. Topics of interest span the entire spectrum of conceptual modeling, including research and practice in areas such as theories of concepts and ontologies underlying conceptual modeling, methods and tools for developing and communicating conceptual models, and techniques for transforming conceptual models into effective implementations. The scientific program of ER 2009 features several activities running in parallel.
Sommario
ER 30th Anniversary Paper.- Thirty Years of ER Conferences: Milestones, Achievements, and Future Directions.- Keynotes.- A Frame Manipulation Algebra for ER Logical Stage Modelling.- Conceptual Modeling in the Time of the Revolution: Part II.- Data Auditor: Analyzing Data Quality Using Pattern Tableaux.- Schema AND Data: A Holistic Approach to Mapping, Resolution and Fusion in Information Integration.- Conceptual Modeling.- A Generic Set Theory-Based Pattern Matching Approach for the Analysis of Conceptual Models.- An Empirical Study of Enterprise Conceptual Modeling.- Formalizing Linguistic Conventions for Conceptual Models.- Requirements Engineering.- Monitoring and Diagnosing Malicious Attacks with Autonomic Software.- A Modeling Ontology for Integrating Vulnerabilities into Security Requirements Conceptual Foundations.- Modeling Domain Variability in Requirements Engineering with Contexts.- Foundational Aspects.- Information Networking Model.- Towards an Ontological Modeling with Dependent Types: Application to Part-Whole Relations.- Inducing Metaassociations and Induced Relationships.- Query Approaches.- Tractable Query Answering over Conceptual Schemata.- Query-By-Keywords (QBK): Query Formulation Using Semantics and Feedback.- Cluster-Based Exploration for Effective Keyword Search over Semantic Datasets.- Space and Time Modeling.- Geometrically Enhanced Conceptual Modelling.- Anchor Modeling.- Evaluating Exceptions on Time Slices.- Schema Matching and Integration.- A Strategy to Revise the Constraints of the Mediated Schema.- Schema Normalization for Improving Schema Matching.- Extensible User-Based XML Grammar Matching.- Ontology-Based Approaches.- Modeling Associations through Intensional Attributes.- Modeling Concept Evolution: A Historical Perspective.- FOCIH: Form-Based Ontology Creation and Information Harvesting.- Specifying Valid Compound Terms in Interrelated Faceted Taxonomies.- Application Contexts.- Conceptual Modeling in Disaster Planning Using Agent Constructs.- Modelling Safe Interface Interactions in Web Applications.- A Conceptual Modeling Approach for OLAP Personalization.- Creating User Profiles Using Wikipedia.- Process and Service Modeling.- Hosted Universal Composition: Models, Languages and Infrastructure in mashArt.- From Static Methods to Role-Driven Service Invocation A Metamodel for Active Content in Object Databases.- Business Process Modeling: Perceived Benefits.- Industrial Session.- Designing Law-Compliant Software Requirements.- A Knowledge-Based and Model-Driven Requirements Engineering Approach to Conceptual Satellite Design.- Virtual Business Operating Environment in the Cloud: Conceptual Architecture and Challenges.
Riassunto
Conceptual modeling has long been recognized as the primary means to enable software development in information systems and data engineering. Conceptual modeling provides languages, methods and tools to understand and represent the application domain; to elicit, conceptualize and formalize system requirements and user needs; to communicate systems designs to all stakeholders; and to formally verify and validate systems design on high levels of abstraction. Recently, ontologies added an important tool to conceptualize and formalize system specification. The International Conference on Conceptual Modeling – ER – provides the premiere forum for presenting and discussing current research and applications in which the major emphasis is centered on conceptual modeling. Topics of interest span the entire spectrum of conceptual modeling, including research and practice in areas such as theories of concepts and ontologies underlying conceptual modeling, methods and tools for developing and communicating conceptual models, and techniques for transforming conceptual models into effective implementations. The scientific program of ER 2009 features several activities running in parallel.
