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Conceptual Modeling — ER 2002

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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Conceptual Modelling and Ontology: Possibilities and Pitfalls
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    Chapter 2 An Ontology for m-Business Models
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    Chapter 3 Modeling Dynamics of Business Processes: Key for Building Next Generation of Business Information Systems
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    Chapter 4 Ontology-Driven Conceptual Modelling
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    Chapter 5 Advanced OO Modelling: Metamodels and Notations for the New Millennium
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    Chapter 6 Ontology-Driven Conceptual Modelling: Advanced Concepts
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    Chapter 7 Workflow Management in Electronic Commerce
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    Chapter 8 Do We Need an Ontology of Ontologies?
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    Chapter 9 Development of a Conceptual Data Model for Digital Spatio-Temporal Geographical Information, with Application to Several Themes and GIS
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    Chapter 10 Using Semantic Rules Database to Dynamically Set up the ICSpace Virtual Building
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    Chapter 11 On the Transformation of Object Oriented Conceptual Models to Logical Theories: From EROOS to ID-Logic
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    Chapter 12 Component Construction of Database Schemes
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    Chapter 13 Multirelational Semantics for Extended Entity-Relationship Schemata With Applications
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    Chapter 14 A Meta-model for e-Contract Template Variable Dependencies Facilitating e-Negotiation
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    Chapter 15 On the General Ontological Foundations of Conceptual Modeling
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    Chapter 16 Finding and Characterizing Changes in Ontologies
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    Chapter 17 Superimposed Schematics: Introducing E-R Structure for In-Situ Information Selections
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    Chapter 18 Web extensions to UML: Using the MVC Triad
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    Chapter 19 Wiccap Data Model: Mapping Physical Websites to Logical Views
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    Chapter 20 Representing and Querying Semistructured Web Data Using Nested Tables with Structural Variants
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    Chapter 21 On the Transformation of Object-Oriented Conceptual Models to Logical Theories
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    Chapter 22 Reasoning with Goal Models
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    Chapter 23 Registering Scientific Information Sources for Semantic Mediation
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    Chapter 24 Multidimensional Modeling with UML Package Diagrams
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    Chapter 25 Comparative Evaluation of Large Data Model Representation Methods: The Analyst’s Perspective
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    Chapter 26 Extracting Conceptual Relationships from Specialized Documents
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    Chapter 27 A Transactional Model for Data Warehouse Maintenance
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    Chapter 28 The Account Data Model
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    Chapter 29 A Semantic Model for Hypertext Data Caching
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    Chapter 30 Understanding and Simulating Narratives in the Context of Information Systems
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    Chapter 31 Global Schema Generation Using Formal Ontologies
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    Chapter 32 Automatically Extracting Ontologically Specified Data from HTML Tables of Unknown Structure
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    Chapter 33 On the Expressive Power of Data Integration Systems
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    Chapter 34 Property-Based Semantic Reconciliation of Heterogeneous Information Sources
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    Chapter 35 Conceptual integration of multiple partial geometric models
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    Chapter 36 Evaluating the Quality of Process Models: Empirical Testing of a Quality Framework
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    Chapter 37 Data Quality in Web Information Systems
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    Chapter 38 Conceptual Modeling Quality - From EER to UML Schemas Evaluation
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    Chapter 39 Conceptual Modeling for Customized XML Schemas
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    Chapter 40 A Flexible Cost Model for Abstract Object-Oriented Database Schemas
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    Chapter 41 Designing Valid XML Views
Attention for Chapter 39: Conceptual Modeling for Customized XML Schemas
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Chapter title
Conceptual Modeling for Customized XML Schemas
Chapter number 39
Book title
Conceptual Modeling — ER 2002
Published by
Springer, Berlin, Heidelberg, October 2002
DOI 10.1007/3-540-45816-6_39
Book ISBNs
978-3-54-044277-6, 978-3-54-045816-6
Authors

Ramez Elmasri, Yu-Chi Wu, Babak Hojabri, Charley Li, Jack Fu, Elmasri, Ramez, Wu, Yu-Chi, Hojabri, Babak, Li, Charley, Fu, Jack

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 18%
United States 1 9%
France 1 9%
Ireland 1 9%
Unknown 6 55%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 27%
Professor > Associate Professor 2 18%
Student > Doctoral Student 2 18%
Librarian 1 9%
Student > Ph. D. Student 1 9%
Other 1 9%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 6 55%
Linguistics 1 9%
Earth and Planetary Sciences 1 9%
Medicine and Dentistry 1 9%
Unknown 2 18%