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Conceptual modeling : ER 2004 : 23rd International Conference on Conceptual Modeling, Shanghai, China, November 8-12, 2004 : proceedings

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Author: International Conference on Conceptual Modeling (23rd : 2004 : Shanghai, China), Atzeni, Paolo, 1957-

Added by: sketch

Added Date: 2015-12-29

Language: eng

Subjects: Database design, Relational databases, Bases de données, Bases de données relationnelles, Database design, Relational databases, Modélisation conceptuelle, Base de données

Publishers: Berlin : New York : Springer

Collections: folkscanomy miscellaneous, folkscanomy, additional collections

ISBN Number: 3540237232, 9783540237235

Pages Count: 300

PPI Count: 300

PDF Count: 1

Total Size: 465.30 MB

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Conceptual Modeling – ER 2004: 23rd International Conference on Conceptual Modeling, Shanghai, China, November 8-12, 2004. Proceedings
Author: Paolo Atzeni, Wesley Chu, Hongjun Lu, Shuigeng Zhou, Tok-Wang Ling
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-23723-5
DOI: 10.1007/b101693

Table of Contents:

  • Entity Resolution: Overview and Challenges
  • Towards a Statistically Semantic Web
  • The Application and Prospect of Business Intelligence in Metallurgical Manufacturing Enterprises in China
  • Conceptual Modelling – What and Why in Current Practice
  • Entity-Relationship Modeling Re-revisited
  • Modeling Functional Data Sources as Relations
  • Roles as Entity Types: A Conceptual Modelling Pattern
  • Modeling Default Induction with Conceptual Structures
  • Reachability Problems in Entity-Relationship Schema Instances
  • A Reference Methodology for Conducting Ontological Analyses
  • Pruning Ontologies in the Development of Conceptual Schemas of Information Systems
  • Definition of Events and Their Effects in Object-Oriented Conceptual Modeling Languages
  • Enterprise Modeling with Conceptual XML
  • Graphical Reasoning for Sets of Functional Dependencies
  • ER-Based Software Sizing for Data-Intensive Systems
  • Data Mapping Diagrams for Data Warehouse Design with UML
  • Informational Scenarios for Data Warehouse Requirements Elicitation
  • Extending UML for Designing Secure Data Warehouses
  • Data Integration with Preferences Among Sources
  • Resolving Schematic Discrepancy in the Integration of Entity-Relationship Schemas

Includes bibliographical references and index

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