Chapter 13: Geographical Data Interchange Using XML-Enabled Technology within the GIDB System

Ruth Wilson is a mathematician for the Naval Research Laboratory (NRL). She has been a lead developer of the Geospatial Information Database System and Portal for over 8 years. Her research interests include object-oriented programming, mathematical techniques to improve digital mapping, and distributed communication of mapping data between servers and users in real time. Wilson received a B.S. in mathematics from the University of Southern Mississippi in 1993 and an M.S. in mathematics from McNeese State University in 1997. She can be reached at ruth.wilson@nrlssc.navy.mil.

Maria A. Cobb is an associate professor in the Department of Computer Science & Statistics at the University of Southern Mississippi. Dr. Cobb received a Ph.D. in computer science from Tulane University in 1995. She was previously employed by the Naval Research Laboratory as a computer scientist. Her primary research interests are spatial data modeling, including techniques for modeling and reasoning about spatial data under uncertainty, and distributed object-oriented systems.

Frank McCreedy has been a software developer for 4 years. Primarily working with Java, his work has included such topics as servlets, applets, client/server architectures, interaction with various database systems, and geographic mapping. Currently he works at the Naval Research Laboratory at Stennis Space Center as a computer scientist. He gained a B.S. in computer science from University of Southern Mississippi in 1998.

Roy Ladner received an M.S. in computer science and a Ph.D. in engineering and applied science from the University of New Orleans. He works as a research scientist at the Naval Research Laboratory at Stennis Space Center. His work emphasizes the investigation of spatio-temporal database issues and advanced methods to improve delivery of spatio-temporal data over the Internet. His research has been published in national and international conference proceedings and journals.

David Olivier is a member of the Digital Mapping, Charting, & Geodesy Analysis Program, Marine Geosciences Division at the Naval Research Laboratory, Stennis Space Center. He received a B.A. in philosophy and the history of math and science from St. John's College in 1994 and an M.S. in computer science from the University of New Orleans in 2001. His research interests include geographic information systems and distributed applications.

Todd Lovitt is a computer scientist and mathematician with Planning Systems, Inc. He has been working with the Naval Research Laboratory on the design and development of object-oriented databases of digital mapping data. His research interests include visualization of 2D/3D GIS data and distributed techniques for integration and display of disparate geospatial data types across the Internet. He received a B.S. in mathematics with a computer science minor from Mississippi State University in 1989. He can be reached at todd.lovitt@psislidell.com.

Kevin B. Shaw leads a Naval Research Laboratory R&D team that focuses on advanced geospatial modeling, object-oriented database design, and portal implementation for improved naval, DoD, and government agencies' usage. Mr. Shaw received a B.S. in electrical engineering from Mississippi State University in 1984, an M.S. in computer science from the University of Southern Mississippi in 1987, and an M.E.E. in electrical engineering from Mississippi State University in 1988. Mr. Shaw can be reached at shaw@nrlssc.navy.mil.

Fred Petry received B.S. and M.S. degrees in physics and a Ph.D. in computer and information science from Ohio State University in 1975. He has been on the faculty of the University of Alabama in Huntsville and Ohio State University and is currently a full professor in the Department of Electrical Engineering & Computer Science at Tulane University. His recent research interests include representation of imprecision via fuzzy sets and rough sets in databases, GIS and other information systems, and artificial intelligence including genetic algorithms. His research has been funded by NSF, NASA, DOE, NIH, various DoD agencies, and industry. He has directed 20 Ph.D. students in these areas in the past 10 years. Dr. Petry has over 250 scientific publications including over 85 journal articles/book chapters and 5 books written or edited. His monograph on fuzzy databases has been widely recognized as the definitive volume on this topic. He is currently an associate editor of IEEE Transactions on Fuzzy Systems, Neural Processing Letters, and an area editor of information systems for Fuzzy Sets and Systems and was general chairperson of FUZZ-IEEE '96. He was selected as an IEEE Fellow in 1997 for his research on the use of fuzzy sets for modeling imprecision in databases and was chosen as a recipient of the 2002 Tulane School of Engineering Outstanding Researcher Award.

Dr. Mahdi Abdelguerfi is currently professor and chair of the computer science department at the University of New Orleans. His research interests include terrain databases, 3D synthetic environments, and spatio-temporal information systems.

Top Title TOC Preface P.1 What Is XML? P.2 XML Concepts P.3 XML-Related Technologies P.4 XML Data Management P.5 How This Book Is Organized P.6 Who Should Read This Book P.7 Resources Acknowledgments Chapter 8 Chapter 12 Chapter 13 Chapter 14 Chapter 19 Part I: What Is XML? Chapter 1. Information Modeling with XML 1.1 Introduction 1.2 XML as an Information Domain 1.3 How XML Expresses Information 1.4 Patterns in XML 1.5 Common XML Information-Modeling Pitfalls 1.6 A Very Simple Way to Design XML 1.7 Conclusion Part II: Native XML Databases Chapter 2. Tamino-Software AG's Native XML Server 2.1 Introduction 2.2 Tamino Architecture and APIs 2.3 XML Storage 2.4 Querying XML 2.5 Tools 2.6 Full Database Functionality 2.7 Conclusion Chapter 3. eXist Native XML Database 3.1 Introduction 3.2 Features 3.3 System Architecture Overview 3.4 Getting Started 3.5 Query Language Extensions 3.6 Application Development 3.7 Technical Background 3.8 Conclusion Chapter 4. Embedded XML Databases 4.1 Introduction 4.2 A Primer on Embedded Databases 4.3 Embedded XML Databases 4.4 Building Applications for Embedded XML Databases 4.5 Conclusion Part III: XML and Relational Databases Chapter 5. IBM XML-Enabled Data Management Product Architecture & Technology 5.1 Introduction 5.2 Product and Technology Offering Summaries 5.3 Current Architecture and Technology 5.4 Future Architecture and Technology 5.5 Conclusion Notices Chapter 6. Supporting XML in Oracle9i 6.1 Introduction 6.2 Storing XML as CLOB 6.3 XMLType 6.4 Using XSU for Fine-Grained Storage 6.5 Building XML Documents from Relational Data 6.6 Web Access to the Database 6.7 Special Oracle Features 6.8 Conclusion Chapter 7. XML Support in Microsoft SQL Server 2000 7.1 Introduction 7.2 XML and Relational Data 7.3 XML Access to SQL Server 7.4 Serializing SQL Query Results into XML 7.5 Providing Relational Views over XML 7.6 SQLXML Templates 7.7 Providing XML Views over Relational Data 7.8 Conclusion Chapter 8. A Generic Architecture for Storing XML Documents in a Relational Database 8.1 Introduction 8.2 System Architecture 8.3 The Data Model 8.4 Creating the Database 8.5 Connecting to the Repository 8.6 Uploading XML Documents 8.7 Querying the Repository 8.8 Further Enhancements 8.9 Conclusion Chapter 9. An Object-Relational Approach to Building a High-Performance XML Repository 9.1 Introduction 9.2 Overview of XML Use-Case Scenario 9.3 High-Level System Architecture 9.4 Detailed Design Descriptions 9.5 Conclusion Part IV: Applications of XML Chapter 10. Knowledge Management in Bioinformatics 10.1 Introduction 10.2 A Brief Molecular Biology Background 10.3 Life Sciences Are Turning to XML to Model Their Information 10.4 A Genetic Information Model 10.5 NeoCore XMS* 10.6 Integration of BLAST into NeoCore XMS Conclusion Chapter 11. Case Studies of XML Used with IBM DB2 Universal Database 11.1 Introduction 11.2 Case Study 1: "Our Most Valued Customers Come First" 11.3 Case Study 2: "Improve Cash Flow" 11.4 Conclusion Notices Chapter 12. The Design and Implementation of an Engineering Data Management System Using XML and J2EE 12.1 Introduction 12.2 Background and Requirements 12.3 Overview 12.4 Design Choices 12.5 Future Directions 12.6 Conclusion Chapter 13. Geographical Data Interchange Using XML-Enabled Technology within the GIDB System 13.1 Introduction 13.2 GIDB METOC Data Integration 13.3 GIDB Web Map Service Implementation 13.4 GIDB GML Import and Export 13.5 Conclusion Chapter 14. Space Wide Web by Adapters in Distributed Systems Configuration from Reusable Components 14.1 Introduction 14.2 Advanced Concept Description: The Research Problem 14.3 Integration of Components with Architecture 14.4 Example 14.5 Future Generation NASA Institute for Advanced Concepts, Space Wide Web Research, and Boundaries 14.6 Advanced Concept Development 14.7 Conclusion Chapter 15. XML as a Unifying Framework for Inductive Databases 15.1 Introduction 15.2 Past Work 15.3 The Proposed Data Model: XDM 15.4 Benefits of XDM 15.5 Toward Flexible and Open Systems 15.6 Related Work 15.7 Conclusion Chapter 16. Designing and Managing an XML Warehouse 16.1 Introduction 16.2 Architecture 16.3 Data Warehouse Specification 16.4 Managing the Metadata 16.5 Storage and Management of the Data Warehouse 16.6 DAWAX: A Graphic Tool for the Specification and Management of a Data Warehouse 16.7 Related Work 16.8 Conclusion Part V: Performance and Benchmarks Chapter 17. XML Management System Benchmarks 17.1 Introduction 17.2 Benchmark Specification 17.3 Benchmark Data Set 17.4 Existing Benchmarks for XML 17.5 Conclusion Chapter 18. The Michigan Benchmark: A Micro-Benchmark for XML Query Performance Diagnostics 18.1 Introduction 18.2 Related Work 18.3 Benchmark Data Set 18.4 Benchmark Queries 18.5 Using the Benchmark 18.6 Conclusion Chapter 19. A Comparison of Database Approaches for Storing XML Documents 19.1 Introduction 19.2 Data Models for XML Documents 19.3 Databases for Storing XML Documents 19.4 Benchmarking Specification 19.5 Test Results 19.6 Related Work 19.7 Summary Chapter 20. Performance Analysis between an XML-Enabled Database and a Native XML Database 20.1 Introduction 20.2 Related Work 20.3 Methodology 20.4 Database Design 20.5 Discussion 20.6 Experiment Result 20.7 Conclusion Chapter 21. Conclusion References Contributors Editors Chapter 1: Information Modeling with XML Chapter 2: Tamino-Software AG's Native XML Server Chapter 3: eXist Native XML Database Chapter 4: Embedded XML Databases Chapter 5: IBM XML-Enabled Data Management Product Architecture and Technology Chapter 6: Supporting XML in Oracle9i Chapter 7: XML Support in Microsoft SQL Server 2000 Chapter 8: A Generic Architecture for Storing XML Documents in a Relational Database Chapter 9: An Object-Relational Approach to Building a High-Performance XML Repository Chapter 10: Knowledge Management in Bioinformatics Chapter 11: Case Studies of XML Used with IBM DB2 Universal Database Chapter 12: The Design and Implementation of an Engineering Data Management System Using XML and J2EE Chapter 13: Geographical Data Interchange Using XML-Enabled Technology within the GIDB System Chapter 14: Space Wide Web by Adapters in Distributed Systems Configuration from Reusable Components Chapter 15: XML as a Unifying Framework for Inductive Databases Chapter 16: Designing and Managing an XML Warehouse Chapter 17: XML Management System Benchmarks Chapter 18: The Michigan Benchmark: A Micro-Benchmark for XML Query Performance Diagnostics Chapter 19: A Comparison of Database Approaches for Storing XML Documents Chapter 20: Performance Analysis between an XML-Enabled Database and a Native XML Database Remember the name: eTutorials.org Copyright eTutorials.org 2008-2023. 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