ACM Eighth International Workshop on Data Warehousing and OLAP
DOLAP 2005
October 31 - November 5, 2005
Bremen, Germany
[DLSI - UA]

Workshop held with
CIKM 2005

[DOLAP]
 
About the workshop


Announcements

Committee

Submission procedure

Important dates

Photo gallery

TARGET AUDIENCES AND TOPICS OF INTEREST
The workshop solicits two types of papers: regular and industry papers. Regular research papers and industry papers are separately reviewed and there will be separate sessions in a distinct industry track. A panel will also be organized to discuss new and future research on data warehouses and OLAP technologies.

Suggested regular research topics include the following, but are not limited to:

  • Data warehousing foundations and architectures
  • Data warehouse design
  • Source integration
  • Data extraction, cleaning and loading
  • Metadata management
  • View materialization
  • Physical organization of data warehouses
  • Performance optimization and tuning
  • Multidimensional modeling and queries: languages, optimization, processing
  • Data warehouse consistency and quality
  • Security in data warehouses
  • Maintenance and evolution of data warehouses
  • Data warehousing and the semantic web
  • Data warehousing with unstructured data (e.g., text) and semi-structured data (e.g., XML)
  • Data warehousing applications: corporate, scientific, government, healthcare, bioinformatics, etc.
  • Data warehousing in mobile and wireless environments
  • Tools for data warehousing and OLAP
  • Frameworks for Business Process Management (BPM) and Business Intelligence (BI)
  • Active data warehouses
  • Integration of data warehouses and data mining
  • Multimedia data warehouses

Suggested industry topics include the following, but are not limited to:

  • Experience and lessons in data warehousing projects and applications
  • Administration tools
  • Benchmarks
  • Tools for data warehousing and OLAP
  • Data warehousing and Enterprise Resource Planning (ERP)
  • Data warehousing and Customer Relationship Management (CRM)
  • Solutions for Business Process Management (BPM) and Business Intelligence (BI)
  • Surveys

 
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