Handbook on Data Management in Information Systems

This book is the sixth of a running series of volumes dedicated to selected topics of information theory and practice. The objective of the series is to pro vide a reference source for problem solvers in business, industry, government, and professional researchers and gradute students. The first volume, Handbook on Architecture of Information Systems, presents a balanced number of contributions from academia and practition ers. The structure of the material follows a differentiation between model ing languages, tools and methodologies. The second volume, Handbook on Electronic Commerce, examines electronic commerce storefront, on-line busi ness, consumer interface, business-to-business networking, digital payment, legal issues, information product development and electronic business mod els. The third volume, Handbook on Parallel and Distributed Processing, presents basic concepts, methods, and recent developments in the field of parallel and distributed processing as well as some important aplications of parallel and distributed computing. In particular, the book examines such fundamental issues in the above area as languages for parallel processing, parallel operating systems, architecture of parallel and distributed systems, parallel database and multimedia systems, networking aspects of parallel and distributed systems, efficiency of parallel algorithms. The fourth volume on Information Technologies for Education and Training is· devoted to a pre sentation of current and future research and applications in the field of ed ucational technology. The fifth double volume on Knowledge Management contains an extensive, fundamental coverage of the knowledge management field.

Gives a complete, up-to-date overview of the subject Includes supplementary material: sn.pub/extras

Contenu

1. Management of Data: State-of-the-Art and Emerging Trends.- 1 Introduction.- 2 Survey of the Volume.- 2. Database Systems: from File Systems to Modern Database Systems.- 1 Introduction Database Concepts.- 2 Database System Generations.- 3 Network Database Systems.- 4 Hierarchical Database Systems.- 5 Relational Database Systems.- 6 Object-Oriented Database Systems.- 7 Federated, Mediated Database Systems and Data Warehouses.- 8 Conclusions.- 3. Data Modeling.- 1 Introduction.- 2 Early Concerns in Data Management.- 3 Abstraction in Data Modeling.- 4 Semantic Data Models.- 5 Models of Reality and Perception.- 6 Toward Cognition-Based Data Management.- 7 A Cognitive Approach to Data Modeling.- 8 Research Directions.- 4. Object-Oriented Database Systems.- 1 Introduction and Motivation.- 2 Object-Oriented Data Modeling.- 3 The Query Language OQL.- 4 Physical Object Management.- 5 Architecture of Client-Server-Systems.- 6 Indexing.- 7 Dealing with Set-Valued Attributes.- 8 Query Optimization.- 9 Conclusion.- 5. High Performance Parallel Database Management Systems.- 1 Introduction.- 2 Partitioning Strategies.- 3 Join Using Inter-Operator Parallelism.- 4 ORE: a Framework for Data Migration.- 5 Conclusions and Future Research Directions.- 6. Advanced Database Systems.- 1 Introduction.- 2 Preliminaries.- 3 Data Models and Modeling for Complex Objects.- 4 Advanced Query Languages.- 5 Advanced Database Server Capabilities.- 6 Conclusions and Outlook.- 7. Parallel and Distributed Multimedia Database Systems.- 1 Introduction.- 2 Media Fundamentals.- 3 MPEG as an Example of Media Compression.- 4 Organisation and Retrieval of Multimedia Data.- 5 Data Models for Multimedia Data.- 6 Multimedia Retrieval Sequence Using Images as an Example.- 7 Requirements for MultimediaApplications.- 8 Parallel and Distributed Processing of Multimedia Data.- 9 Parallel and Distributed Techniques for Multimedia Databases.- 10 Case Study: Cairo Cluster Architecture for Image Retrieval and Organisation.- 11 Conclusions.- 8. Workflow Technology: the Support for Collaboration.- 1 Introduction.- 2 Application Scenario and Collaboration Requirements.- 3 Commercial Technologies Addressing Collaboration Requirements.- 4 Evaluation of Current Workflow Management Technology.- 5 Research Problems, Related Work, and Directions.- 6 Summary.- 9. Data Warehouses.- 1 Introduction.- 2 Basics.- 3 The Database of a Data Warehouse.- 4 The Data Warehouse Concept.- 5 Data Analysis of a Data Warehouse.- 6 Building a Data Warehouse.- 7 Future Research Directions.- 8 Conclusions.- 10. Mobile Computing.- 1 Introduction.- 2 Mobile Computing Infrastructure.- 3 Mobile Computing Software Architectures and Models.- 4 Disconnected Operation.- 5 Weak Connectivity.- 6 Data Delivery by Broadcast.- 7 Mobile Computing Resources and Pointers.- 8 Conclusions.- 11. Data Mining.- 1 Introduction.- 2 Mining Associations.- 3 Classification and Prediction.- 4 Clustering.- 5 Conclusions.- List of Contributors.