Maurizio Lenzerini – författare

This volume collects the papers presented at ICDT 2003, the 9th International ConferenceonDatabaseTheory,heldfrom8to10January2003intheRettorato dell'Universit' a di Siena, Siena, Italy. ICDT (http://alpha.luc.ac.be/"lucp1080/icdt/) has now a long t- dition of international conferences, providing a biennial scienti?c forum for the communicationofhigh-qualityresearchresultsontheoreticalaspectsofallforms of database systems and database technology. ICDT is traditionally held in - storic European locations: Rome in 1986, Bruges in 1988, Paris in 1990, Berlin in 1992, Prague in 1995, Delphi in 1997, Jerusalem in 1999, and London in 2001. ICDThasmergedwiththeSymposiumonMathematicalFundamentalsofDa- base Systems (MFDBS), initiated in Dresden in 1987, and continued in Visegrad in 1989 and Rostock in 1991. This volume contains 26 papers selected from 92 submissions, plus three invited papers by Hector Garcia-Molina, Yannis Ioannidis, and Limsoon Wong. We wish to thank all the authors who submitted papers, the members of the program committee for their e?orts in reviewing and selecting the papers, the external referees, the organizing committee, and the sponsors for their support.Diego Calvanese Maurizio Lenzerini Rajeev Motwani Organization ICDT 2003 was organized by the Dipartimento di Informatica e Sistemistica, Universit' a di Roma "La Sapienza".

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 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.

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.