Riassunto
Proceedings from a June 2004 conference held in Riga, Latvia. Twenty-two contributions are organized into sections on database integration, data models and query processing, data mining and data warehousing, specifications, modeling and model transformations, ontologies, and information systems. A sampling of topics: generating and optimizing views from both as view data integration rules, enhancing hierarchical queries in relational databases with the nested set representation, from temporal data mining and Web mining to temporal Web mining, use of knowledge engineering techniques for creation and analysis of aggregate specifications, a model driven approach to business rules model transformations, merging DAML+OIL ontologies, and a contribution to Web Digital Archive integration from the Parliamentary Management System "SIAP." Illustrated with b&w diagrams, charts and tables. No subject index. For researchers and practitioners interested in advanced topics on databases and information systems. Annotation ©2007 Book News, Inc., Portland, OR (booknews.com)
Dalla quarta di copertina
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.
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