ACM Tenth International Workshop on Data Warehousing and OLAP

DOLAP 2007

(in conjunction with ACM CIKM 2007)

Sponsored by ACM SIGMIS and SIGWEB



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. The widespread deployment of both DWs and OLAP technologies is due to the intuitive representation of data provided to data analysts or managers in support of management decisions. Recently, the trend is that DWs become more and more dynamic, with near-realtime updates, and include more complex types of data.

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, the high maturity of these technologies as well as new data needs or applications 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 warehouse research include distributed data warehouses, web warehouses, data streams, realtime DWs, GIS/location-based services, and biomedical data. Moreover, there are other aspects such as security/privacy or quality, which still remain unexplored by current DW methods and technologies.

Like the previous successful DOLAP workshops, the DOLAP 2007 workshop 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. DOLAP will focus on new research directions and emerging applications in DW & OLAP.

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. In addition, there will be a session with invited industry papers presenting research challenges. A panel will discuss future research on data warehouses and OLAP technologies. Suggested regular research topics include, but are not limited to:

Industry papers shall address:

Submission of Papers

Manuscripts should be formatted using the ACM camera-ready templates (both for MS word and Latex) available at There are two styles on the website. Both the Strict Adherence to SIGS and the Tighter Alternate style are allowed. Papers cannot exceed 8 pages in length. A website with camera-ready instructions is available at Full papers should be submitted in PS or PDF format via email at dolap07 [at] cs [dot] aau [dot] dk by July 21, 2007.  

Papers will be reviewed by the program committee for their technical merit, originality, significance, readability, and relevance to the workshop. Emphasis will be given to papers extending data warehousing to novel areas and applications. Authors will receive notification of acceptance/rejection by August 21. Camera-ready copies of accepted papers are due on August 29, and will be published in the workshop proceedings by ACM Press. The maximum length of final papers will be 8 pages in double column. The best papers of DOLAP 2007 will be considered for a special issue of a journal.

Important Dates:

Submission deadline for full papers :

Saturday, July 21, 2007 at 23:59:59 GMT

Notification of acceptance :

Tuesday, August 21, 2007

Camera-ready copy hard deadline:

Wednesday, August 29, 2007

Workshop date:

Friday, November 9, 2007

Steering Committee

Joachim Hammer University of Florida
Il-Yeol Song Drexel University
Dimitri Theodoratos New Jersey Inst. of Technology
Rokia Missaoui Université du Québec en Outaouais, Canada
Stefano Rizzi University of Bologna
Karen Davis University of Cincinnati
Juan Trujillo University of Alicante
Panos Vassiliadis University of Ioannina

General Chair

Il-Yeol Song                                    Drexel University

Program Chair

Torben Bach Pedersen                    Aalborg University

Program Committee


Contact Information

General Chair

Il Yeol Song


College of Information Science and Technology
Drexel University,

Philadelphia, PA 19104
Tel: (215) 895-2489

FAX: (215) 895-2494
Email: song [AT] drexel [dot] edu

Web page:

PC Chair

Torben Bach Pedersen

Associate Professor
Department of Computer Science, Aalborg University
Fr Bajers Vej 7E,

DK-9220 Aalborg Ø, Denmark

Tel:  +45 9635 9975
Fax: +45 9815 9889
Email: tbp [AT] cs [dot] aau [dot] dk
Web page: