You are previewing Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends.
O'Reilly logo
Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends

Book Description

The Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends provides a compendium of references to topics in databases systems and applications. This reference book provides interested readers with broad coverage and definitions of the most important issues in this area.

Table of Contents

  1. Copyright
  2. List of Contributors
  3. Preface
  4. Acknowledgment
  5. Conceptual Modeling
    1. Mapping Generalizations and Specializations and Categories to Relational Databases
      1. INTRODUCTION
      2. BACKGROUND
      3. GENERALIZATION / SPECIALIZATION RELATIONSHIPS
      4. CATEGORIES
      5. FUTURE TRENDS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS
    2. Bounded Cardinality and Symmetric Relationships
      1. INTRODUCTION
      2. BOUNDED CARDINALITY AND SYMMETRIC RELATIONSHIPS
      3. FUTURE TRENDS
      4. CONCLUSION
      5. ACKNOWLEDGMENT
      6. REFERENCES
      7. KEY TERMS
      8. ENDNOTE
    3. A Paraconsistent Relational Data Model
      1. INTRODUCTION
      2. BACKGROUND
      3. PARACONSISTENT RELATIONS
      4. ALGEBRAIC OPERATORS ON PARACONSISTENT RELATIONS
      5. QUERY EXAMPLE
      6. APPLICATION
      7. CONSTRAINTS AND STORAGE
      8. FUTURE TRENDS
      9. CONCLUSION
      10. REFERENCES
      11. KEY TERMS
    4. Managing Temporal Data
      1. INTRODUCTION
      2. TIME IN DATABASES
      3. REPRESENTING TEMPORAL DATA
      4. TEMPORAL RELATIONS
      5. DESIGNING TEMPORAL RELATIONS
      6. REQUIREMENTS FOR TEMPORAL DATA MODELS
      7. TEMPORAL QUERY LANGUAGES
      8. IMPLEMENTATION OF TEMPORAL RELATIONS
      9. CONCLUSION
      10. ACKNOWLEDGMENT
      11. REFERENCES
      12. KEY TERMS
    5. Data Reengineering of Legacy Systems
      1. INTRODUCTION
      2. RELATED WORK
      3. MAIN FOCUS: DATA REENGINEERING WITHIN PROGRAM TRANSFORMATION
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    6. Different Kinds of Hierarchies in Multidimensional Models
      1. INTRODUCTION
      2. BACKGROUND
      3. MAIN FOCUS
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
      8. ENDNOTE
    7. Spatial Data in Multidimensional Conceptual Models
      1. INTRODUCTION
      2. BACKGROUND
      3. MAIN FOCUS
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
      8. ENDNOTE
    8. Requirement Specification and Conceptual Modeling for Data Warehouses
      1. INTRODUCTION
      2. BACKGROUND
      3. MAIN FOCUS
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
      8. ENDNOTES
    9. Principles on Symbolic Data Analysis
      1. INTRODUCTION
      2. BACKGROUND
      3. MAIN FOCUS
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    10. Database Engineering Supporting the Data Evolution
      1. INTRODUCTION
      2. BACKGROUND
      3. MAIN THRUST OF THE CHAPTER
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    11. Versioning Approach for Database Evolution
      1. INTRODUCTION
      2. BACKGROUND
      3. SCALABILITY OF THE VERSIONING
      4. VERSIONING METHODS AND APPROACHES
      5. VERSIONED DATABASE FUNCTIONALITY
      6. FUTURE TRENDS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS
    12. Evolutionary Database: State of the Art and Issues
      1. INTRODUCTION
      2. BACKGROUND
      3. MODELS AND SYSTEMS OF SCHEMA EVOLUTION AND VERSIONING
      4. DATABASE REFACTORING
      5. FUTURE TRENDS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS
      9. ENDNOTE
    13. Interrogative Agents for Data Modeling
      1. INTRODUCTION
      2. BACKGROUND
      3. THE AGENT BASED DATA MODELING
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
      8. ENDNOTES
    14. Schema Evolution Models and Languages for Multidimensional Data Warehouses
      1. INTRODUCTION
      2. BACKGROUND
      3. SCHEMA MODIFICATION MODELS AND LANGUAGES
      4. VERSION-BASED MODELS AND LANGUAGES
      5. THE WHEM-V MODEL
      6. FUTURE TRENDS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS
      10. ENDNOTE
    15. A Survey of Data Warehouse Model Evolution
      1. INTRODUCTION
      2. BACKGROUND
      3. DISCUSSION
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    16. Document Versioning and XML in Digital Libraries
      1. INTRODUCTION
      2. BACKGROUND
      3. APPROACHES TO VERSION MANAGEMENT
      4. XML DOCUMENT VERSIONING
      5. MANNERS OF IMPLEMENTING VERSIONING SOLUTIONS
      6. FUTURE TRENDS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS
      10. ENDNOTE
    17. MDD Approach for Maintaining Integrity Constraints in Databases
      1. INTRODUCTION
      2. RELATED WORKS
      3. APPLYING MDA TO GENERATE INTEGRITY MAINTAINING
      4. ADD-IN MODULE DESIGN
      5. CONCLUSION
      6. FUTURE WORKS
      7. REFERENCES
      8. KEY TERMS
    18. Artifacts for Collaborative Software Development
      1. INTRODUCTION
      2. BACKGROUND
      3. MAIN FOCUS OF THE CHAPTER
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
  6. Logical Modeling
    1. Object–Relational Modeling
      1. INTRODUCTION
      2. BACKGROUND
      3. MAIN THRUST: UML PROFILES FOR OBJECT-RELATIONAL MODELING
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
      8. ENDNOTE
    2. Concept–Oriented Model
      1. INTRODUCTION
      2. MODEL DEFINITION
      3. MODEL USE
      4. CONCLUSION
      5. REFERENCES
      6. KEY TERMS
    3. Database Reverse Engineering
      1. INTRODUCTION
      2. BACKGROUND: STATE OF THE ART AND KEY PROBLEMS
      3. THE PROCESSES OF DATABASE REVERSE ENGINEERING
      4. DATABASE REVERSE ENGINEERING TOOLS
      5. TRENDS AND PERSPECTIVES
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS
    4. Imprecise Functional Dependencies
      1. INTRODUCTION
      2. BACKGROUND
      3. IMPRECISE FUNCTIONAL DEPENDENCIES
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
      8. ENDNOTE
    5. Horizontal Data Partitioning: Past, Present and Future
      1. INTRODUCTION
      2. BACKGROUND
      3. MAIN THRUST: HORIZONTAL PARTITIONING IN DATA WAREHOUSES
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    6. Database Support for Workflow Management Systems
      1. INTRODUCTION: WORKFLOW SYSTEMS
      2. BACKGROUND: WORKFLOW MANAGEMENT ISSUES
      3. MAIN THRUST: DATABASE SUPPORT
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    7. Politically Oriented Database Applications
      1. INTRODUCTION: THE ROLE OF POLITICS
      2. BACKGROUND: POLITICALLY ORIENTED DATABASES
      3. MAIN THRUST: DATABAsE ISSUES
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    8. Semantically Modeled Databases in Integrated Enterprise Information Systems
      1. INTRODUCTION
      2. FUTURE TRENDS IN SEMANTICALLY MODELED SYSTEMS
      3. CONCLUSION
      4. REFERENCES
      5. KEY TERMS
      6. ENDNOTES
    9. The Linkcell Construct and Location-Aware Query Processing for Location-Referent Transactions in Mobile Business
      1. INTRODUCTION
      2. BACKGROUND: THE LOCATION REPOSITORY MANAGEMENT PROBLEM
      3. THE LOCATION-AWARE LINKCELL (LAL) METHOD OF REPOSITORY MANAGEMENT: A POTENTIAL SOLUTION
      4. LINKCELL-BASED DATA MANAGEMENT
      5. LINKCELL SIZE SELECTION
      6. FUTURE TRENDS
      7. CONCLUDING REMARKS
      8. REFERENCES
      9. KEY TERMS
      10. ENDNOTES
    10. Caching, Hoarding, and Replication in Client/Server Information Systems with Mobile Clients
      1. INTRODUCTION
      2. BACKGROUND
      3. MAIN THRUST: MANAGING REDUNDANT DATA
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
  7. Spatial and Temporal Databases
    1. Spatio-Temporal Indexing Techniques1
      1. INTRODUCTION
      2. BACKGROUND
      3. MAIN TRUST OF THE CHAPTER
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
      8. ENDNOTE
    2. Query Processing in Spatial Databases
      1. INTRODUCTION
      2. BACKGROUND IN SPATIAL QUERIES AND PROCESSING
      3. PERSPECTIVE AND NEW IMPORTANT ISSUES
      4. FUTURE TRENDS
      5. CONCLUSION
      6. ACKNOWLEDGMENT
      7. REFERENCES
      8. KEY TERMS
    3. Automatic Data Enrichment in GIS Through Condensate Textual Information
      1. INTRODUCTION
      2. BACKGROUND
      3. MAINTHRUST: OUR DATA ENRICHMENT PROCESS
      4. REFINEMENT PROCESS
      5. IMPLEMENTATION
      6. EVALUATION
      7. FUTURE TRENDS
      8. CONCLUSION
      9. REFERENCES
      10. KEY TERMS
    4. Similarity Search in Time Series
      1. INTRODUCTION
      2. BACKGROUND
      3. SIMILARITY SEARCH IN TIME SERIES
      4. APPLICATIONS
      5. FUTURE TRENDS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS
    5. Internet Map Services and Weather Data
      1. INTRODUCTION
      2. BACKGROUND
      3. EVOLUTION OF IMS FROM WEB GIS APPLICATION TO MAP SERVICE
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    6. Spatial Network Databases1
      1. INTRODUCTION
      2. BACKGROUND
      3. MODELS, QUERIES, INDEXING
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
      8. ENDNOTE
    7. Supporting Location-Based Services in Spatial Network Databases
      1. INTRODUCTION
      2. BACKGROUND
      3. AN EXAMPLE LBS FRAMEWORK
      4. CHALLENGES AND FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    8. Spatial Data Integration Over the Web
      1. INTRODUCTION
      2. BACKGROUND: SPATIAL DATA INFRASTRUCTURE
      3. SPATIAL DATA INTEGRATION
      4. GEOSPATIAL SERVICE INTERFACES
      5. CHALLENGES AND FUTURE TRENDS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS
  8. Database Integrity
    1. Improving Constraints Checking in Distributed Databases with Complete, Sufficient, and Support Tests
      1. INTRODUCTION
      2. RELATED WORK
      3. TYPES OF INTEGRITY TESTS
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    2. Inconsistency-Tolerant Integrity Checking
      1. INTRODUCTION
      2. BACKGROUND
      3. MAIN THRUST: INCONSISTENCY-TOLERANT INTEGRITY CHECKING
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    3. Merging, Repairing, and Querying Inconsistent Databases
      1. INTRODUCTION
      2. PRELIMINARIES
      3. DATABASE MERGING
      4. REPAIRING INCONSISTENTDATABASES IN THE PRESENCE OF NULL VALUES
      5. QUERYING INCONSISTENT DATABASES IN THE PRESENCE OF NULL VALUES
      6. CONCLUSION AND FUTURE TRENDS
      7. REFERENCES
      8. KEY TERMS
    4. The Challenges of Checking Integrity Constraints in Centralized, Distributed, and Parallel Databases
      1. INTRODUCTION
      2. ISSUES OF CHECKING INTEGRITY CONSTRAINTS
      3. FUTURE TRENDS
      4. CONCLUSION
      5. REFERENCES
      6. KEY TERMS
    5. Data Quality Assessment
      1. INTRODUCTION
      2. BACKGROUND
      3. BASIC PROBLEMS OF DATA QUALITY ASSESSMENT
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    6. Measuring Data Quality in Context
      1. INTRODUCTION
      2. BACKGROUND
      3. UTILITY OF DATA
      4. UTILITY-DRIVEN MEASUREMENT
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    7. Geometric Quality in Geographic Information
      1. INTRODUCTION
      2. BACKGROUND
      3. THE QUALITY EVALUATION METHOD
      4. DISCUSSION
      5. FUTURE TRENDS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS
    8. Geometric Quality in Geographic Information IFSAR DEM Control
      1. INTRODUCTION
      2. IFSAR CORRELATION PROBLEM: METHOD REFORMULATION
      3. METHOD DESCRIPTION
      4. DISCUSSION
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    9. Querying and Integrating P2P Deductive Databases
      1. INTRODUCTION
      2. MOTIVATION
      3. BACKGROUND
      4. P2P SYSTEMS: SYNTAX AND FOL SEMANTICS
      5. WEAK-MODEL SEMANTICS
      6. QUERY ANSWERS AND COMPLEXITY
      7. REFERENCES
      8. KEY TERMS
  9. Ontologies
    1. Using Semantic Web Tools for Ontologies Construction
      1. INTRODUCTION
      2. BACKGROUND INFORMATION
      3. OWL, THE WEB ONTOLOGY LANGUAGE
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    2. Matching Relational Schemata to Semantic Web Ontologies
      1. INTRODUCTION
      2. BACKGROUND
      3. SCHEMA MATCHING PROCESS
      4. CONCLUSION
      5. REFERENCES
      6. KEY TERMS
      7. ENDNOTES
    3. Ontology–Based Semantic Models for Databases
      1. INTRODUCTION
      2. SEMANTIC MODELS
      3. ONTOLOGY-BASED SEMANTIC MODELING
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    4. Inconsistency, Logic Databases, and Ontologies
      1. INTRODUCTION
      2. BACKGROUND
      3. INCONSISTENCY HANDLING
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    5. Data Integration: Introducing Semantics
      1. INTRODUCTION
      2. BACKGROUND
      3. CURRENT TRENDS
      4. CONCLUSION
      5. REFERENCES
      6. KEY TERMS
    6. An Overview of Ontology-Driven Data Integration1
      1. INTRODUCTION
      2. BACKGROUND
      3. ONTOLOGY-BASED DATA INTEGRATION
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
      8. ENDNOTES
    7. Current Approaches and Future Trends of Ontology-Driven Geographic Integration1
      1. INTRODUCTION
      2. GIS INTEGRATION: BASIC CONCEPTS
      3. A CHARACTERIZATION OF CURRENT APPROACHES
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
      8. ENDNOTE
    8. Mediation and Ontology-Based Framework for Interoperability
      1. INTRODUCTION
      2. BACKGROUND
      3. ONTOLOGY/MEDIATION FRAMEWORK FOR SEMANTIC INTEROPERABILITY
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    9. Ontologies Application to Knowledge Discovery Process in Databases
      1. INTRODUCTION
      2. BACKGROUND
      3. MAIN FOCUS
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
  10. Data Mining
    1. Expression and Processing of Inductive Queries
      1. INTRODUCTION
      2. BACKGROUND
      3. DATA AND PATTERNS MODEL
      4. EXPRESSING INDUCTIVE QUERIES
      5. PROCESSING INDUCTIVE QUERIES
      6. RELATED WORK
      7. FUTURE TRENDS
      8. CONCLUSION
      9. REFRENCES
      10. KEY TERMS
      11. ENDNOTE
    2. Privacy-Preserving Data Mining
      1. INTRODUCTION
      2. SURVEY OF APPROACHES
      3. APPLICATION SCENARIOS
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    3. Mining Frequent Closed Intemsets for Association Rules
      1. INTRODUCTION
      2. BACKGROUND
      3. ADVANTAGES OF MINING FCI OVER FI
      4. ALGORITHMS BASED ON GALOIS CLOSURE OPERATOR
      5. ALGORITHMS BASED ON FORMAL CONCEPT ANALYSIS
      6. FUTURE TRENDS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS
    4. Similarity Retrieval and Cluster Analysis Using R* Trees
      1. INTRODUCTION
      2. BACKGROUND
      3. R* TREE FOR SIMILARITY ANALYSIS
      4. R* TREES FOR CLUSTER ANALYSIS
      5. FUTURE TRENDS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS
    5. Outlying Subspace Detection for High-Dimensional Data
      1. INTRODUCTION
      2. BACKGROUND
      3. SEARCHING TECHNIQUES FOR OUTLYING SUBSPACE DETECTION
      4. LIMITATIONS OF EXISTING METHODS
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS
    6. Data Clustering
      1. INTRODUCTION
      2. BACKGROUND
      3. DATA CLUSTERING TECHNIQUES
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    7. C-MICRA: A Tool for Clustering Microarray Data
      1. INTRODUCTION
      2. BACKGROUND
      3. MAIN FOCUS
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    8. Deep Web: Databases on the Web
      1. INTRODUCTION
      2. BACKGROUND
      3. CHALLENGES OF DEEP WEB
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    9. Learning Classifiers from Distributed Data Sources
      1. INTRODUCTION
      2. BACKGROUND: PROBLEM SPECIFICATION
      3. MAIN THRUST: STRATEGY FOR LEARNING FROM DISTRIBUTED DATA
      4. FUTURE TRENDS
      5. CONCLUSION
      6. ACKNOWLEDGMENT
      7. REFERENCES
      8. KEY TERMS
    10. Differential Learning Expert System in Data Management
      1. INTRODUCTION
      2. BACKGROUND
      3. KNOWLEDGE EXTRACTION FROM DIFFERENTIALLY FED NEURAL NETWORKS
      4. NEED OF DIFFERENTIAL FEEDBACK
      5. SYSTEM DESCRIPTION
      6. PROPOSED ARCHITECTURE
      7. DATA PROCESSING
      8. RULE EXTRACTION
      9. SCHEDULING DECISION
      10. FUTURE TRENDS
      11. CONCLUSION
      12. REFERENCES
      13. KEY TERMS
    11. Machine Learning as a Commonsense Reasoning Process
      1. INTRODUCTION
      2. BACKGROUND
      3. TOWARDS AN INTERACTIVE MODEL OF COMMONSENSE REASONING
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    12. Machine Learning and Data Mining in Bioinformatics
      1. INTRODUCTION
      2. BACKGROUND
      3. BIOLOGICAL DATA ANALYSIS
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    13. Sequential Pattern Mining from Sequential Data
      1. INTRODUCTION
      2. BACKGROUND
      3. DISCOVERY OF SEQUENTIAL PATTERNS
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    14. From Chinese Philosophy to Knowledge Discovery in Databases: A Case Study: Scientometric Analysis
      1. INTRODUCTION
      2. CONCEPTUAL MODEL
      3. CREATION OF SHI FOR SCIENTIFIC RESEARCH
      4. CONCLUSION: INTERPRETATION OF RESULTS AND FUTURE TRENDS
      5. EPILOGUE
      6. REFERENCES
      7. KEY TERMS
      8. ENDNOTE
  11. Physical Issues
    1. An Overview on Signature File Techniques
      1. INTRODUCTION
      2. BACKGROUND
      3. SIGNATURE FILES AND SIGNATURE FILE ORGANIZATION
      4. FUTURE TREND
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    2. On the Query Evaluation in XML Databases
      1. INTRODUCTION
      2. BACKGROUND
      3. TREE ENCODING
      4. ALGORITHM FOR SIMPLE CASES
      5. FUTURE WORK
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS
    3. XML Document Clustering
      1. INTRODUCTION
      2. BACKGROUND
      3. CLUSTERING XML DOCUMENTS BY STRUCTURE
      4. CLUSTERING XML DOCUMENTS: THE ROLE OF CONTENT
      5. SEMANTIC CLASSIFICATION OF XML DOCUMENTS
      6. CLUSTERING SEMANTICALLY RELATED XML DOCUMENTS
      7. FUTURE TRENDS
      8. CONCLUSION
      9. REFERENCES
      10. KEY TERMS
    4. Indices in XML Databases
      1. INTRODUCTION
      2. BACKGROUND
      3. INDICES IN XML DATA WAREHOUSES
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    5. Integrative Information Systems Architecture: Document & Content Management
      1. INTRODUCTION
      2. SCOPE
      3. SYSTEM FEATURES
      4. SYSTEM INTEGRATION
      5. ENTERPRISE DATA MANAGEMENT
      6. REASONS FOR UTILIZATION
      7. CRITICAL ISSUES
      8. CONCLUSION
      9. REFERENCES
      10. KEY TERMS
    6. Index and Materialized View Selection in Data Warehouses
      1. INTRODUCTION
      2. BACKGROUND
      3. DATA-MINING-BASED INDEX AND MATERIALIZED VIEW SELECTION
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    7. Synopsis Data Structures for Representing, Querying, and Mining Data Streams
      1. INTRODUCTION
      2. BACKGROUND
      3. SYNOPSIS DATA STRUCTURES FOR DATA-STREAM PROCESSING
      4. BASIC TECHNIQUES
      5. SKETCH-BASED COMPUTATION TECHNIQUES
      6. ADVANCED TECHNIQUES
      7. CONCLUSION
      8. FUTURE TRENDS
      9. REFERENCES
      10. KEY TERMS
    8. GR-OLAP: Online Analytical Processing of Grid Monitoring Information
      1. INTRODUCTION
      2. BACKGROUND: DATA WAREHOUSE & OLAP
      3. BACKGROUND: THE GRID AND ITS MONITORING
      4. MAIN THRUST: GR-OLAP
      5. DISCUSSION AND FUTURE TRENDs
      6. CONCLUSION
      7. ACKNOWLEDGMENT
      8. REFERENCES
      9. KEY TERMS
    9. A Pagination Method for Indexes in Metric Databases
      1. INTRODUCTION
      2. INDEXES IN SECONDARY STORAGE
      3. HANDLING METRIC INDEXES IN SECONDARY STORAGE
      4. AN APPLICATION EXAMPLE
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    10. SWIFT: A Distributed Real Time Commit Protocol
      1. INTRODUCTION
      2. BACKGROUND
      3. SWIFT
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    11. MECP: A Memory Efficient Real Time Commit Protocol
      1. INTRODUCTION
      2. BACKGROUND
      3. MECP
      4. NEW LOCKING SCHEME
      5. MEMORY OPTIMIZATION
      6. FUTURE WORKS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS
    12. Self-Tuning Database Management Systems
      1. INTRODUCTION
      2. BACKGROUND
      3. AUTOMATED INDEX TUNING
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    13. A Survey of Approaches to Database Replication
      1. INTRODUCTION
      2. ACTIVE REPLICATION
      3. WEAK-VOTING REPLICATION
      4. CERTIFICATION-BASED REPLICATION
      5. PRIMARY COPY REPLICATION
      6. LAZY REPLICATION
      7. FUTURE TRENDS
      8. CONCLUSION
      9. REFERENCES
      10. KEY TERMS
    14. A Novel Crash Recovery Scheme for Distributed Real-Time Databases
      1. INTRODUCTION
      2. BACKGROUND
      3. RECOVERY REQUIREMENTS AND CORRECTNESS CRITERIA
      4. REAL-TIME DYNAMIC CRASH RECOVERY SCHEME (RTDCRS)
      5. PERFORMANCE TEST AND EVALUATION
      6. CONCLUSION
      7. FUTURE TRENDS
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. KEY TERMS
    15. Querical Data Networks
      1. INTRODUCTION
      2. BACKGROUND
      3. VISION: A DATABASE QUERYING FRAMEWORK FOR QDNS
      4. FUTURE TRENDS
      5. CONCLUSION
      6. ACKNOWLEDGMENT
      7. REFERENCES
      8. KEY TERMS
      9. ENDNOTES
    16. On the Implementation of a Logic Language for NP Search and Optimization Problems
      1. INTRODUCTION
      2. NP DATALOG
      3. TRANSLATING NP DATALOG INTO OPL
      4. CONCLUSION
      5. REFERENCES
      6. KEY TERMS
    17. A Query-Strategy-Focused Taxonomy of P2P IR Techniques
      1. INTRODUCTION
      2. BACKGROUND
      3. P2P INFORMATION RETRIEVAL TECHNIQUES: A QUERY-STRATEGY-FOCUSED TAXONOMY
      4. CONCLUSION
      5. FUTURE TRENDS
      6. REFERENCES
      7. KEY TERMS
    18. Pervasive and Ubiquitous Computing Databases: Critical Issues and Challenges
      1. INTRODUCTION
      2. BACKGROUND
      3. DATABASES IN PERVASIVE AND UBIQUITOUS COMPUTING
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    19. Business-to-Business (B2B) Integration
      1. BUSINESS-TO-BUSINESS (B2B) INTEGRATION TECHNOLOGY
      2. HISTORICAL BACKGROUND
      3. INTEGRATION TECHNOLOGY
      4. CURRENT DEVELOPMENTS
      5. FUTURE TRENDS
      6. CRITICAL ISSUES OF B2B INTEGRATION TECHNOLOGIES
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS
    20. Enterprise Application Integration (EAI)
      1. ENTERPRISE APPLICATION INTEGRATION (EAI) TECHNOLOGY
      2. BACKGROUND
      3. ENTERPRISE APPLICATION INTEGRATION TECHNOLOGY
      4. CURRENT DEVELOPMENTS AND FUTURE TRENDS
      5. CRITICAL ISSUES OF EAI TECHNOLOGIES
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS
    21. The Role of Rhetoric in Localization and Offshoring
      1. INTRODUCTION
      2. BACKGROUND
      3. MAIN FOCUS OF THE CHAPTER
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    22. Adaptive XML-to-Relational Storage Strategies
      1. INTRODUCTION
      2. BACKGROUND
      3. ADAPTIVE APPROACHES
      4. FUTURE TRENDS
      5. CONCLUSION
      6. ACKNOWLEDGEMENT
      7. REFERENCES
      8. KEY TERMS
      9. ENDNOTE
    23. Innovative Access and Query Schemes for Mobile Databases and Data Warehouses
      1. 1. INTRODUCTION
      2. 2. BACKGROUND
      3. 3. DATA-INTENSIVE MOBILE APPLICATIONS AND SYSTEMS
      4. 4. THE HAND-OLAP SYSTEM
      5. 5. CONCLUSION
      6. 6. FUTURE TRENDS
      7. REFERENCES
      8. KEY TERMS
    24. Full-Text Manipulation in Databases
      1. INTRODUCTION
      2. BACKGROUND
      3. FULL-TEXT OPERATORS
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    25. Bind but Dynamic Technique: The Ultimate Protection Against SQL Injections
      1. INTRODUCTION
      2. BACKGROUND
      3. MAIN THRUST: SQL INJECTIONS
      4. FUTURE TRENDS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
  12. Compilation of References
  13. Index