-------- Original-Nachricht -------- Betreff: [computational.science] DOLAP 2006 Call for Papers Datum: Tue, 02 May 2006 23:39:56 +0300 Von: Panos Vassiliadis pvassil@cs.uoi.gr Organisation: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com
[Apologies for multiple postings]
1st CALL FOR PAPERS ACM Ninth International Workshop on Data Warehousing and OLAP DOLAP 2006 (in conjunction with ACM CIKM 2006) Sponsored by ACM, SIGIR, SIGMIS
http://www.cs.uoi.gr/~dolap06/ 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.
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 streaming, GIS or biomedical data. Moreover, there are other aspects developed in other software areas such as security or quality, which still remain unexplored by current design methods or technologies for data warehouses.
Like the previous successful DOLAP workshops, the DOLAP 2006 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 application domains in the areas of data warehousing and 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. 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 * 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 (e.g., text) 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) and Business Intelligence (BI) * Tools for data warehousing and OLAP * Integration of data warehouses/OLAP and data mining * Integration of OLAP and Information Retrieval * Warehousing Stream and Sensor data: integration, aggregation and approximation * Security in data warehouses * Personalization * OLAP and what-if analysis * Software Engineering techniques for DW&OLAP * Knowledge-based approaches to DW&OLAP * 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 at the DOLAP '06 submission web system by July 14, 2006.
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 14. Camera-ready copies of accepted papers are due on August 31, and will be published in the workshop proceedings by ACM Press. The best papers of DOLAP 2006 will be considered for a special issue of DKE.
Important Dates ------------------------ Submission deadline for full papers: Friday, July 14, 2006 Notification of acceptance : Monday, August 14, 2006 Camera-ready copy hard deadline: Thursday, August 31, 2006 Workshop date: Friday, November 10, 2006
Steering Committee ------------------------ Joachim Hammer University of Florida Il-Yeol Song Drexel University Dimitri Theodoratos New Jersey Inst. of Technology Rokia Missaoui Universite du Quebec en Outaouais, Canada Stefano Rizzi University of Bologna Karen Davis University of Cincinnati Juan Carlos Trujillo University of Alicante
Program Chair ------------------------ Panos Vassiliadis University of Ioannina
Program Committee ------------------------ TBA
Contact Information ------------------------ 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@drexel.edu Web page: www.cis.drexel.edu/faculty/song/
Panos Vassiliadis Lecturer Department of Computer Science, University of Ioannina Ioannina, 45110, Hellas Tel: +30-26510-98814 Fax: +30-26510-98890 Email: pvassil@cs.uoi.gr Web page: www.cs.uoi.gr/~pvassil