Data warehouses have captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains an art rather than a science. This book presents the first comparative review of the state of the art and best current practice of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European Data Warehouse Quality project, it offers a conceptual framework by which the architecture and quality of data warehouse efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence. For researchers and database professionals in academia and industry, the book offers an excellent introduction to the issues of quality and metadata usage in the context of data warehouses.

This book constitutes the refereed proceedings of the 9th International Conference on Database Theory, ICDT 2002, held in Siena, Italy in January 2002. The 26 revised full papers presented together with 3 invited articles were carefully reviewed and selected from 92 submissions. The papers are organized in topical sections on reasoning about XML schemas and queries, aggregate queries, query evaluation, query rewriting and reformulation, semistructured versus structured data, query containment, consistency and incompleteness, and data structures.

This book constitutes the refereed proceedings of the 5th Congress of the Italian Association for Artificial Intelligence, AI*IA 97, held in Rome, Italy, in September 1997.
The 37 revised full papers and 8 system descriptions presented in the volume were selected from 88 papers submitted. The papers are organized in topical sections on machine learning; natural language processing; perception, vision and robotics; distributed artificial intelligence; and planning.

Data warehouses have captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains an art rather than a science. This book presents the first comparative review of the state of the art and best current practice of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European Data Warehouse Quality project, it offers a conceptual framework by which the architecture and quality of data warehouse efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence. For researchers and database professionals in academia and industry, the book offers an excellent introduction to the issues of quality and metadata usage in the context of data warehouses.