Abstract

The Fourth Annual ACM International Workshop on Data Warehousing and Online Analytical Processing (DOLAP 2001) was held in Atlanta, GA, USA, in November 2001, in conjunction with the Tenth International Conference on Information and Knowledge Management (CIKM 2001). Although this was only the fourth annual meeting, DOLAP has already become an important and broadly accepted forum for researchers and practitioners to share their findings in theoretical foundations, current methodologies, practical experiences, and new research directions in the areas of data warehousing and online analytical processing (OLAP). Despite the fact that conference attendance has been down since the horrific events of September 11, DOLAP 2001 attracted researchers from Europe, Asia and the Americas.The DOLAP 2001 program, which occupied a full day immediately following CIKM 2001, included a keynote talk, technical presentations, and a final discussion involving all workshop participants. As in previous years, the quality of the submitted papers was high and the program committee had a difficult time deciding which of the 31 submissions from 16 different countries should be accepted for presentation. The submitted research papers covered the state-of-the-art in data warehousing and related fields including data warehouse architecture, design and evolution, multi-dimensional modeling, query optimization, indexing, view materialization and maintenance, data warehouse quality, XML- and object-based warehouses, and data warehousing and the Web. In addition, the committee received a number of industrial submissions describing ongoing data warehousing projects and novel applications for warehouses. After careful review, 12 research and industrial papers were selected for presentation at DOLAP 2001. The proceedings are published by ACM Press, and are also available online at www.informatik.uni-trier.de/~ley/db/conf/dolap/dolap2001.html.In addition, the authors of the three highest-ranked papers have been invited to submit an updated, more detailed version to the Special Issue on Advances in Data Warehousing of the Data and Knowledge Engineering Journal to be published in early 2003.

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