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The expanding possibilities and promising current and future potential that lies within the advancing field of database technologies encompasses many aspects of life as its beneficial features and innovative functions are seen impacting society at countless diverse angles.Database Technologies: Concepts, Methodologies, Tools, and Applications expands the field of database technologies through four-volumes of in-depth, advanced research articles from nearly 300 of the world's leading professionals. This breakthrough publication contains over 200 chapters of important concepts, methods, and functions of database technologies, covering topics such as conceptual modeling, data warehousing, and Web-based information systems. Database Technologies: Concepts, Methodologies, Tools, and Applications is a paramount contribution to the technology field and a must-have for libraries.ОглавлениеTable of Contents:Volume ISection I. Fundamental Concepts and TheoriesThis section serves as the foundation for this exhaustive reference tool by addressing crucial theories essential to the understanding of database technologies. Chapters found within these pages provide an excellent framework in which to position database technologies within the field of information science and technology. Individual contributions provide overviews of data warehousing and database management systems, while also exploring critical stumbling blocks of this field. Within this introductory section, the reader can learn and choose from a compendium of expert research on the elemental theories underscoring the research and application of database technologies.Chapter 1.1. Philosophical Foundations of Information ModelingChapter 1.2. A Generalized Comparison of Open Source and Commercial Database Management SystemsChapter 1.3. Highly Available Database Management SystemsChapter 1.4. Mining in Music DatabasesChapter 1.5. Pattern Mining and Clustering on Image DatabasesChapter 1.6. Conceptual Modeling Solutions for the Data WarehouseChapter 1.7. A Literature Overview of Fuzzy Database ModelingChapter 1.8. Fuzzy and Probabilistic Object-Oriented DatabasesChapter 1.9. An Overview of Fuzzy Approaches to Flexible Database QueryingChapter 1.10. Distributed Data MiningChapter 1.11. Histogram-Based Compression of Databases and Data CubesChapter 1.12. Emergence Index in Image DatabasesChapter 1.13. Secure Knowledge Discovery in DatabasesChapter 1.14. Indexing Textual InformationChapter 1.15. Database in Computing SystemsChapter 1.16. Database Integrity CheckingChapter 1.17. A Survey on Temporal Data WarehousingChapter 1.18. Discovering Quality Knowledge from Relational DatabasesChapter 1.19. Approaches to Semantics in Knowledge ManagementChapter 1.20. Theories of Meaning in Schema Matching: A ReviewChapter 1.21. Multi-Label Classification: An OverviewChapter 1.22. Electronic Usage StatisticsChapter 1.23. Databases Modeling of Engineering InformationChapter 1.24. An Overview of Learning Object RepositoriesChapter 1.25. An Overview of IDS Using Anomaly DetectionChapter 1.26. Towards Google Earth: A History of Earth GeographySection II. Development and Design MethodologiesThis section provides in-depth coverage of conceptual architectures, frameworks and methodologies related to the design and implementation of database technologies. Throughout these contributions, research fundamentals in the discipline are presented and discussed. From broad examinations to specific discussions on particular frameworks and infrastructures, the research found within this section spans the discipline while also offering detailed, specific discussions. Basic designs, as well as abstract developments, are explained within these chapters, and frameworks for designing successful databases are discussedChapter 2.1. Design of a Data Model for Social Network ApplicationsChapter 2.2. Database Design Based on BChapter 2.3. A Database Service Discovery Model for Mobile AgentsChapter 2.4. A Database Project in a Small Company (or How the Real World Doesn’t Always Follow the Book)Chapter 2.5. Integrating Mobile-Based Systems with Healthcare DatabasesChapter 2.6. A Framework for Efficient Association Rule Mining in XML DataChapter 2.7. Conceptual Modeling for XML: A Myth or a RealityChapter 2.8. Semantic Integrity Constraint Checking for Multiple XML DatabasesChapter 2.9. Goal-Oriented Requirement Engineering for XML Document WarehousesChapter 2.10. Mediating RDF/S Queries to Relational and XML SourcesChapter 2.11. A Methodology Supporting the Design and Evaluating the Final Quality of Data WarehousesChapter 2.12. An MDA Compliant Approach for Designing Secure Data WarehousesChapter 2.13. Architecture for Symbolic Object WarehouseChapter 2.14. Efficient and Robust Node- Partitioned Data WarhousesVolume IIChapter 2.15. Web Data Warehousing Convergence: From Schematic to SystematicChapter 2.16. Data Warehouse Design to Support Customer Relationship Management AnalysisChapter 2.17. Aspects of Intelligence in an “SP” Database SystemChapter 2.18. Intelligent Search for Experts Using Fuzzy Abstraction Hierarchy in Knowledge Management SystemsChapter 2.19. Building an Environmental GIS Knowledge InfrastructureChapter 2.20. Bug Fixing Practices within Free/Libre Open Source Software Development TeamsChapter 2.21. OLAP with a Database ClusterChapter 2.22. Extraction, Transformation, and Loading ProcessesChapter 2.23. Designing Information Systems Capabilities to Create Business Value: A Theoretical Conceptualization of the Role of Flexibility and IntegrationSection III. Tools and TechnologiesThis section presents extensive coverage of the technology that both derives from and informs databases. These chapters provide an in-depth analysis of the use and development of innumerable devices and tools, while also providing insight into new and upcoming technologies, theories, and instruments that will soon be commonplace. Within these rigorously researched chapters, readers are presented with examples of database technology. In addition, the successful implementation and resulting impact of these various technologies are discussed within this collection of chaptersChapter 3.1. Open Source Database TechnologiesChapter 3.2. Action Research with Internet Database ToolsChapter 3.3. A Scalable Middleware for Web DatabasesChapter 3.4. Full-Text Search Engines for DatabasesChapter 3.5. Application of Decision Tree as a Data mining Tool in a Manufacturing SystemChapter 3.6. Alliance Project: Digital Kinship Database and GenealogyChapter 3.7. Constraint-Based Multi-Dimensional DatabasesChapter 3.8. Towards a Visual Query System for Spatio-Temporal DatabasesChapter 3.9. Visual Query Languages, Representation Techniques and Data ModelsChapter 3.10. A Formal Verification and Validation Approach for Real-Time DatabasesChapter 3.11. Protoforms of Linguistic Database Summaries as a Human Consistent Tool for Using Natural Language in Data MiningChapter 3.12. Rapid Privacy Preserving Algorithm for Large DatabasesChapter 3.13. A Content-Based Approach to Medical Image Database RetrievalChapter 3.14. High Speed Optical Higher Order Neural Networks for Discovering Data Trends and Patterns in Very Large DatabasesChapter 3.15. Mobile Information Processing Involving Multiple Non-Collaborative SourcesChapter 3.16. Rough Sets: A Versatile Theory for Approaches to Uncertainty Management in DatabasesChapter 3.17. VRMiner: A Tool for Multimedia Database Mining With Virtual RealityChapter 3.18. UB2SQL: A Tool for Building Database Applications Using UML and B Formal MethodChapter 3.19. MMIR: An Advanced Content-Based Image Retrieval System Using a Hierarchical Learning FrameworkChapter 3.20. MILPRIT*: A Constraint-Based Algorithm for Mining Temporal Relational PatternsChapter 3.21. Database BenchmarksSection IV. Utilization and ApplicationThis section introduces and discusses the ways in which information technology has been used to shape the realm of database technology and proposes new ways in which IT-related innovations can be implemented within organizations and in society as a whole. These particular selections highlight, among other topics, the implementation of mobile databases and database-driven portals. Contributions included in this section provide excellent coverage of today’s environment and insight into how database technology impacts the fabric of our present-day global villageChapter 4.1. A Taxonomy of Database Operations on Mobile DevicesChapter 4.2. Transaction Management in Mobile DatabasesChapter 4.3. Bioinformatics Web PortalsChapter 4.4. Large-Scale ASP Replication of Database-Driven PortalsChapter 4.5. A Case Study of an Integrated University PortalChapter 4.6. Electronic Tools for Online Assessments: An Illustrative Case Study from Teacher EducationChapter 4.7. Assessment of Students by a Teacher with a Hand Held Device and a Networkable DatabaseChapter 4.8. An XML-Based Database for Knowledge Discovery: Definition and ImplementationChapter 4.9. A Prehospital Database System for Emergency Medical ServicesVolume IIIChapter 4.10. A Preliminary Study Toward Wireless Integration of Patient Information SystemChapter 4.11. A Web-Based Application to Exchange Electronic Health Records and Medical Images in OphthalmologyChapter 4.12. Implementation of a Computerized System in an Oncology UnitChapter 4.13. Challenges in Data Mining on Medical DatabasesChapter 4.14. Beyond OpenURL: Technologies for Linking Library ResourcesChapter 4.15. Databases for Multiple Archaeological Excavations and Internet ApplicationsChapter 4.16. Collaborative Information Management System for Science DomainsChapter 4.17. Computer Networking of Cybercafés in Delta State, NigeriaChapter 4.18. Ara Irititja: Towards Culturally Appropriate IT Best Practice in Remote Indigenous AustraliaChapter 4.19. Agreements Treaties and Negotiated Settlements DatabaseChapter 4.20. From ‘Flow’ to ‘Database’: A Comparative Study of the Uses of Traditional and Internet Television in EstoniaChapter 4.21. Innovative Technological Paradigms for Corporate OffshoringChapter 4.22. Out of Control? The Real ID Act of 2005Chapter 4.23. Factors Influencing the Lifetime of Telecommunication and Information Technology Standards: Results of an Explorative Analysis of the PERINORM DatabaseChapter 4.24. Image Mining: A Case for Clustering Shoe printsChapter 4.25. A Data Visualization and Interpretation System for Sensor NetworksChapter 4.26. Enhancing UML Models: A Domain Analysis ApproachSection V. Organizational and Social ImplicationsThis section includes a wide range of research pertaining to the social and organizational impact of database technology around the world. Chapters in this section analyze online databases, data security, and organizational decision support. The inquiries and methods presented in this section offer insight into the implications of database technology at both a personal and organizational level, while also emphasizing potential areas of study within the discipline.Chapter 5.1. A Knowledge Integration Approach for Organizational Decision SupportChapter 5.2. The Knowledge Transfer Process: From Field Studies to Technology DevelopmentChapter 5.3. The Critical Role of Information Processing in Creating an Effective Knowledge OrganizationChapter 5.4. Interesting Knowledge Patterns in DatabasesChapter 5.5. Fine-Grained Data Security in Virtual OrganizationsChapter 5.6. Knowledge Communication with Shared DatabasesChapter 5.7. Economic Development: Government’s Cutting Edge in ITChapter 5.8. A Comprehensive Framework Towards Information Sharing Between Government AgenciesChapter 5.9. A GIS-Based Interactive Database System for Planning PurposesChapter 5.10. Categorizing Post-Deployment IT Changes: An Empirical InvestigationChapter 5.11. Customer Relationship Management and Knowledge Discovery in DatabaseChapter 5.12. Customer Investigation Process at Credit Suisse: Meeting the Rising Demands of RegulatorsChapter 5.13. Metaphors and Models for Data Mining EthicsChapter 5.14. Reconciling Information Privacy and Information Access in a Globalized Technology SocietyChapter 5.15. Context-Aware Query Processing in Ad-Hoc Environments of PeersChapter 5.16. Misuse of Online Databases for Literature SearchesSection VI. Managerial ImpactThis section presents contemporary coverage of the managerial implications of database technology. Particular contributions address e-services, database grids, and project databases. The managerial research provided in this section allows executives, practitioners, and researchers to gain a better sense of how database technology can inform their practices and behavior.Chapter 6.1. Conflicts, Compromises, and Political Decisions: Methodological Challenges of Enterprise-Wide E-Business Architecture CreationChapter 6.2. Database High Availability: An Extended SurveyChapter 6.3. Database Integration in the Grid InfrastructureChapter 6.4. Empirical Assessment of Factors Influencing Success of Enterprise Resource Planning ImplementationsChapter 6.5. Business Information Integration from XML and Relational Databases SourcesChapter 6.6. A Parallel Methodology for Reduction of Coupling in Distributed Business-to-Business E-Commerce TransactionsChapter 6.7. A Two-Stage Zone Regression Method for Global Characterization of a Project DatabaseVolume IVSection VII. Critical IssuesThis section addresses conceptual and theoretical issues related to the field of database technology, which include security issues in numerous facets of the discipline including security within medical and web-powered. Within these chapters, the reader is presented with analysis of the most current and relevant conceptual inquires within this growing field of study. Particular chapters also address quality of service issues in information quality, data cleaning, and data classification. Overall, contributions within this section ask unique, often theoretical questions related to the study of database technology and, more often than not, conclude that solutions are both numerous and contradictory.Chapter 7.1. NetCube: Fast, Approximate Database Queries Using Bayesian NetworksChapter 7.2. Approximate Range Querying over Sliding WindowsChapter 7.3. Consistent Queries over Databases with Integrity ConstraintsChapter 7.4. A Deterministic Approach to XML Query Processing with Efficient Support for Pure and Negated ContainmentsChapter 7.5. Countermeasures for Protecting Legally Sensitive Web-Powered Databases and Web PortalsChapter 7.6. Compiling Medical Data into National Medical Databases: Legitimate Practice or Data Protection Concern?Chapter 7.7. Database Security and Statistical Database SecurityChapter 7.8. Security Threats in Web-Powered Databases and Web PortalsChapter 7.9. SQL Code Poisoning: The Most Prevalent Technique for Attacking Web Powered DatabasesChapter 7.10. Sanitization and Anonymization of Document Repositories