Databases and Information Systems: Selected Papers from the Sixth International Baltic Conference DB&IS'2004Albertas Caplinskas Modern databases and information systems essentially differ from their predecessors. Ontology-based and knowledge-based approaches to system development, UML based IS development methodologies, XML databases and heterogeneous information models have come to the fore. All these fundamental aspects are discussed in this book. This publication contains a collection of 22 high quality papers written by 44 authors. These articles present original results in modern database technologies, database applications, data warehousing, data mining, ontologies, and modern information systems. Special emphasis is put on multimedia database systems, heterogeneous data integration methods, view optimizations, ontology engineering tools, modeling and model transformations (MDA). Theoretical aspects as well as technical development issues are considered. The intended audience for this book is researchers, advanced students and practitioners who are interested in advanced topics on databases and information systems. |
Contents
A Heuristic Approach to Horizontal Fragmentation in Object Oriented Databases | 20 |
Successful Database Integration through View Cooperation | 34 |
A Matrix Model for XML Data | 53 |
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Common terms and phrases
analyzed AP-FD algorithm application approach architecture archive attribute values classical A Priori clips column Computer concept lattice constraints construct contains corresponding DAML+OIL data access data mining queries data warehouse database schema defined deleted described document domain e-EDU elements evaluation example Figure foreign key frequent scavs functional dependencies global data source hash trees implementation Information Systems integration interfaces itemsets KBAg linguistic system loop Management mapping meta-model mining techniques MOLA nested set node object database ontology operations paper path pattern primary key Priori algorithm Proc Project Project_ID proposed quality characteristics R₁ relation instance relation schema relational database relationship types representation represented requirements restriction role rset schema transformation semantic web semantics sequence diagrams SIAP simple predicates structure t₁ temporal data mining Temporal Web Mining transitive closure tree valid vector space model view definitions