Difference between revisions of "DOLAP 2008"
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|Notification=2008/08/08 | |Notification=2008/08/08 | ||
|Acronym=DOLAP 2008 | |Acronym=DOLAP 2008 | ||
− | |End date=2008 | + | |End date=2008-10-30 |
|Type =Workshop | |Type =Workshop | ||
|Country=US | |Country=US | ||
|State=US/CA | |State=US/CA | ||
|City =US/CA/Napa | |City =US/CA/Napa | ||
+ | |Year =2008 | ||
|Homepage=www.cis.drexel.edu/faculty/song/dolap.htm | |Homepage=www.cis.drexel.edu/faculty/song/dolap.htm | ||
− | |Start date=2008 | + | |Start date=2008-10-30 |
|Title=ACM Eleventh International Workshop on Data Warehousing and OLAP | |Title=ACM Eleventh International Workshop on Data Warehousing and OLAP | ||
|wikicfpId=3155}} | |wikicfpId=3155}} |
Revision as of 02:15, 19 November 2021
Event Rating
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List of all ratings can be found at DOLAP 2008/rating
DOLAP 2008 | |
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ACM Eleventh International Workshop on Data Warehousing and OLAP
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Subevent of | CIKM 2008 |
Dates | 2008-10-30 (iCal) - 2008-10-30 |
Homepage: | www.cis.drexel.edu/faculty/song/dolap.htm |
Location | |
Location: | US/CA/Napa, US/CA, US |
Important dates | |
Submissions: | 2008/07/04 |
Notification: | 2008/08/08 |
Table of Contents | |
ACM Eleventh International Workshop on Data Warehousing and OLAP * DOLAP 2008* (in conjunction with ACM CIKM 2008) 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, biomedical data, integration of semi-structured and unstructured data, security/privacy and quality management. Like the previous successful DOLAP workshops, the DOLAP 2008 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 will be available at the conference web site _www.cikm2008.org_. Full papers should be submitted in PDF format via EasyChair (http://www.easychair.org/conferences/?conf=dolap2008) by *July 4, 2008*. 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 8*. Camera-ready copies of accepted papers are due on * August 15*, 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 2008 will be considered for a special issue of Data & Knowledge Engineering - DKE (Elsevier)*. * Important Dates:* Submission deadline for full papers : Friday, July 4, 2008 at 23:59:59 GMT Notification of acceptance : Friday, August 8, 2008 Camera-ready copy deadline: Friday, August 15, 2008 Workshop date: Thursday, October 30, 2008 * Steering Committee* Karen Davis University of Cincinnati, USA Joachim Hammer University of Florida, USA Rokia Missaoui Universit? du Qu?bec en Outaouais, Canada Torben Bach Pedersen Aalborg University, Denmark Stefano Rizzi University of Bologna, Italy Il-Yeol Song Drexel University, USA Dimitri Theodoratos New Jersey Inst. of Technology, USA Juan Trujillo University of Alicante, Spain Panos Vassiliadis University of Ioannina, Greece * General** Chair* Il-Yeol Song Drexel University *Program Chair* Alberto Abell? Polytecnical University of Catalonia *Program** Committee * Antonio Badia University of Louisville, USA Omar Boussa?d Universit? du Lyon 2, France Rick Cole IBM Silicon Valley Laboratory, USA Alfredo Cuzzocrea University of Calabria, Italy Karen Davis University of Cincinnati, USA Antonis Deligiannakis University of Athens, Greece Curtis Dyreson Utah State University, USA Todd Eavis Concordia University, Canada Helena Galhardas INESC-ID, Portugal Matteo Golfarelli University of Bologna, Italy Sergio Greco University of Calabria, Italy Joachim Hammer University of Florida , USA Manfred Jeusfeld Tilburg University, The Netherlands Panos Kalnis National University of Singapore, Singapore Myung Kim Ewha Womans University, Korea Jens Lechtenb?rger University of M?nster, Germany Wolfgang Lehner Dresden University of Technology, Germany Tok Wang Ling National University of Singapore, Singapour Sergio Luj?n-Mora University of Alicante, Spain Patrick Martin Queen's University, Canada Rokia Missaoui Universit? du Qu?bec en Outaouais, Canada Byung-Kwon Park Dong-Ah University, Korea Torben Pedersen Aalborg University, Denmark Jian Pei SUNY at Buffalo, USA Juan Manuel Perez Martinez Universite Jaume I, Spain Mario Piattini University of Castilla La Mancha, Spain Mirek Riedewald Cornell University, USA Stefano Rizzi University of Bologna, Italy Oscar Romero Universitat Polit?cnica de Catalunia Markus Schneider University of Florida, USA Alkis Simitsis National Technical University of Athens, Greece Spiros Skiadopoulos University of Peloponnese, Greece Il-Yeol Song Drexel University, USA Jens Otto S?rensen Energinet, Denmark Dimitri Theodoratos New Jersey Institute of Technology, USA Igor Timko Free University of Bozen-Bolzano, Italy 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 ")http://www.cis.drexel.edu), Drexel University ")http://www.drexel.edu) 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: Alberto Abell? Associate Professor Department of Languages and Information Systems ")http://www.lsi.upc.edu), Polytechnical University of Catalonia ")http://www.upc.edu) Jordi Girona 1-3, E-08034 Barcelona, Spain Tel: +34 93 413 7889 Fax: +34 93 413 7833 Email: aabello [AT] lsi [dot] upc [dot] edu Web page: www.lsi.upc.edu/~aabello
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