CALL FOR PAPERS

ACM Tenth International Workshop on Data Warehousing and OLAP

DOLAP 2007

(in conjunction with ACM CIKM 2007)

Sponsored by ACM SIGMIS and SIGWEB

OFFICIAL WEB PAGE: http://www.cis.drexel.edu/faculty/song/dolap.htm

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. 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:

• Data warehousing foundations and architectures

• Data warehouse design

• Maintenance and evolution of data warehouses

• Source integration

• Data extraction, cleaning and loading

• Data warehouse consistency and quality

• Active/Real-Time data warehouses

• Lineage Tracing

• Multidimensional modeling and queries: languages, optimization, processing

• Visualization

• Metadata management

• View materialization

• Physical organization of data warehouses

• Performance optimization and tuning

• Web warehousing

• Data warehousing and the semantic web

• Data warehousing with unstructured data and semi-structured data (e.g., XML)

• Multimedia data warehouses

• Biomedical data warehouses

• Data warehousing & OLAP in mobile and wireless environments

• Frameworks for Business Process Management (BPM), Business Intelligence (BI), and Business Process Intelligence (BPI)

• Tools for data warehousing and OLAP

• Integration of data warehouses/OLAP and data mining

• Integration of OLAP and Information Retrieval/search engines

• Warehousing Stream and Sensor data: integration, aggregation and approximation

• Security and privacy in data warehouses

• Personalization

• OLAP and what-if analysis

• Software Engineering techniques for DW&OLAP

• Knowledge-based approaches and AI techniques for DW&OLAP

Industry papers shall address:

• 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)

Submission of Papers

Manuscripts should be formatted using the ACM camera-ready templates (both for MS word and Latex) available at http://www.acm.org/sigs/pubs/proceed/template.html. 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  http://www.sheridanprinting.com/typedept/cikm.htm. 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:

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

• Alberto Abello (Universitat Politécnica de Catalunia, Spain)

• Omar Boussaïd (Université du Lyon 2, France)

• Alfredo Cuzzocrea (University of Calabria, Italy) 

• Karen Davis (University of Cincinnati, USA)

• Curtis Dyreson (Washington State University, USA)

• Todd Eavis (Concordia University, Canada)

• Matteo Golfarelli (University of Bologna, Italy)

• Joachim Hammer (Microsoft, USA)

• Nikos Karayiannidis (Hellenic Telecommunications Organization, Greece)

• Jens Lechtenbörger (University of Münster, Germany)

• Wolfgang Lehner (Dresden University of Technology, Germany)

• Tok Wang Ling (National University of Singapore, Singapore)

• Patrick Martin (Queen's University, Canada)

• Juan Manuel Perez Martinez (Universite Jaume I, Spain)

• Rokia Missaoui (Université du Québec en Outaouais, Canada)

• Mukesh Mohania (IBM India Research Lab, India)

• Jian Pei (Simon Fraser University, CA)

• 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 (IBM Almaden, USA)

• Il-Yeol Song (Drexel University, USA)

• Jens Otto Sørensen (Energinet, Denmark)

• Dimitri Theodoratos (New Jersey Institute of Technology, USA)

• Igor Timko (Free University of Bozen-Bolzano, Italy)

• 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)

• Man Lung Yiu (Aalborg University, Denmark)

Contact Information

General Chair Il Yeol Song Professor 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: www.cis.drexel.edu/faculty/song/

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: www.cs.aau.dk/~tbp