Database Modeling for Industrial Data Management: Emerging Technologies and Applications, 1st Edition

  • Published By:
  • ISBN-10: 1591406862
  • ISBN-13: 9781591406860
  • Grade Level Range: College Freshman - College Senior
  • 374 Pages | eBook
  • Original Copyright 2006 | Published/Released November 2006
  • This publication's content originally published in print form: 2006

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About

Overview

Collecting and presenting the latest research and development results from the leading researchers in the field of industrial database modeling, Database Modeling for Industrial Data Management: Emerging Technologies and Applications provides a single record of current research and practical applications in industrial database modeling. This book discusses the major aspects of databases for industry: data modeling, database models, and database applications in information systems.

Readers of Database Modeling for Industrial Data Management will gain a complete understanding of the notions, techniques, and methods related to the research and developments of industrial database modeling, which will serve as both a starting point and a reference for their research and developments.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Database Modeling for Industrial Data Management: Emerging Technologies and Applications: Table of Contents.
Preface.
Acknowledgments.
1: Industrial Databases and Applications.
2: Databases Modeling of Engineering Information.
3: Database Design Based on B.
4: The Management of Evolving Engineering Design Constraints.
5: Similarity Search for Voxelized CAD Objects.
6: STEP-NC to Complete Product Development Chain.
7: Semantic-Based Dynamic Enterprise Information Integration.
8: Web Service Integration and Management Strategies for Large-Scale Datasets.
9: Business Data Warehouse: The Case of Wal-Mart.
10: A Content-Based Approach to Medical Image Database Retrieval.
11: Generic Database Modeling.
12: Conceptual Modeling for XML: A Myth or a Reality.
13: Constraint-Based Multi-Dimensional Databases.
About the Authors.
Index.