Bremen, Germany, June 3, 2005 -- The ACM Eighth International Workshop on Data Warehousing and OLAP, DOLAP 2005 is scheduled for November 4-5, 2005 in Bremen, Germany. The workshop is sponsored by ACM, SIGIR, SIGMIS, http://gplsi.dlsi.ua.es/congresos/dolap05/.

AIM OF THE WORKSHOP

Data Warehouse (DW) and Online Analytical Processing (OLAP) technologies are the core of current Decision Support Systems. Traditionally, a Data warehouse has been a historical (and relatively static) repository of data collected from a wide variety of heterogeneous data sources by means of Extraction-Transformation-Loading (ETL) processes. One of the high successes of both DWs and OLAP technologies is due to the fact of the intuitive representation of data provided to data analysts or managers in support of management decisions.

Research in data warehousing and OLAP has produced important technologies for the design, management and use of information systems for decision support. Much of the interest and success in this area can be attributed to the need for software and tools to improve data management and analysis given the large amounts of information that are being accumulated in corporate as well as scientific databases.

Nevertheless, even though the high maturity of these technologies, there are still open research issues not yet solved such as a standard method for developing data warehouses, the traceability of properties from conceptual models to final implementation, interoperability and metadata or the modelling of data mining and data warehouses altogether. On the other hand, new data needs or applications currently run at companies not only demand more capacity or storing necessities, but also new methods, models, techniques or architectures to satisfy these new needs. Some of the hot topics in data warehouses include distributed data warehouses, web warehouses, data streaming, GIS or biomedical data. Moreover, there are other aspects very developed in other software areas such as security or quality, which still remain uncovered by current design methods or technologies for data warehouses.

Like the previous successful DOLAP workshops held in conjunction with CIKM, the eighth edition of the Workshop on Data Warehousing and OLAP (DOLAP 2005) aims to synergistically connect the research community and industry practitioners. It provides an international forum where both researchers and practitioners can share their findings in theoretical foundations, current methodologies, and practical experiences. This year, DOLAP’05 will be specially focused on new research directions, and emerging application domains in the areas of data warehousing and OLAP.

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

SUBMISSION OF PAPERS

Submitted papers should be approximately 15 double-spaced pages. Electronic submission is highly encouraged (Postscript, PDF, MS Word, RTF). Full papers should be submitted at http://gplsi.dlsi.ua.es/congresos/dolap05/ by July 19, 2005. Alternatively, four (4) hard copies can be sent to Juan Trujillo at the mailing address below.

Papers will be reviewed by the program committee for their technical merit, originality, significance, readability, and relevance to the workshop. Authors will receive notification of acceptance/rejection by August 20. Camera-ready copies of accepted papers are due on September 13, and will be published in the workshop proceedings by ACM Press. The maximum length of final papers will be 8 pages in double column. This year, best selected accepted papers will be considered for publication in a special issue of the Decision Support Systems Journal.

IMPORTANT DATES

Submission deadline for full papers: July 19, 2005
Notification of acceptance: August 20, 2005
Camera-ready copy due date: September 13, 2005
Workshop date: November 4-5, 2005

GENERAL CHAIR

Il-Yeol Song
College of Information Science and Technology
Drexel University
Philadelphia, PA 19104
U.S.A.

PROGRAM CHAIR

Juan Trujillo
Dept. of Language and Information Systems
University of Alicante, 
Apto. Correos 99. E-03080. Spain
Email: jtrujillo@dlsi.ua.es

STEERING COMMITTEE

Joachim Hammer (University of Florida)
Rokia Missaoui (Universite' du Quebec en Outaouais)
Il-Yeol Song (Drexel University)
Dimitri Theodoratos (New Jersey Inst. of Technology)
Stefano Rizzi (University of Bologna)
Karen Davis (University of Cincinaty)

PRELIMINARY PROGRAM COMMITTEE (To be completed)

Alberto  Abello  (Universitat Politécnica de Catalunia)
Antonio Badia (University of Louisville, USA)
Mokrane Bouzeghoub (Université de Versailles, France)
Chung-Min  Chen  (Telcordia Technologies, USA)
Rick Cole (IBM Silicon Valley Laboratory, USA)
Karen  Davis  (University of Cincinnati, USA) 
Todd  Eavis  (Concordia University, Canada)
Matteo Golfarelli (University of Bologna, Italy)
Sergio Greco (University of Calabria, Italy)
Joachim Hammer (University of Florida , USA)
Manfred   Jeusfeld   (Tilburg University, The Netherlands)
Myung Kim (Ewha Womans University, Korea)
Yannis Kotidis (AT&T Research Labs, USA)
Jens Lechtenbörger (University of Münster, Germany)
Wolfgang Lehner (Dresden University of Technology, Germany)
Tok Wang  Ling  (National University of Singapore, Singapour)
Sergio Luján-Mora (University of Alicante, Spain)
Patrick Martin (Queen's University, Canada)
Rokia Missaoui (Université du Québec en Outaouais, Canada)
Mukesh Mohania (IBM India Research Lab, India)
Dimitris Papadias (Hong Kong University of Science and Technology, HK)
Byung-Kwon Park (Dong-A University, Korea)
Jian Pei (SUNY at Buffalo, USA)
Mario Piattini (University of Castilla La Mancha, Spain)
Mirek  Riedewald  (Cornell University, USA)
Stefano Rizzi (University of Bologna, Italy)
Markus  Schneider  (University of Florida, USA)
Timos  Sellis  (National Technical University of Athens, Greece) 
Alkis Simitsis (National Technical University of Athens, Greece) 
Il-Yeol Song (Drexel University , USA)
Dimitri  Theodoratos  (New Jersey Institute of Technology, USA)
Shiby Thomas (Oracle Corporation, USA)
A Min Tjoa (Vienna University of Technology, Austria)
Juan Trujillo (Universidad de Alicante, Spain)
Panos Vassiliadis (University of Ioannina Greece)
Robert Wrembel (Poznan University of Technology, Poland)
Calisto Zuzarte (IBM Canada Ltd., Canada)

Juan Trujillo 
jtrujillo@dlsi.ua.es