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  21st International Conference on
 
Scientific and Statistical Database Management

   June 2-4, 2009     

   Hotel Monteleone, New Orleans, Louisiana USA
   http://ssdbm09.cs.uno.edu

Information for Authors
     Call for Papers (pdf)
     Submission Instructions
     Submission Site
     Important Dates
     Accepted Papers
     Conference Program
     Proceedings
     Pictures

Registration, Accommodations & Travel
     New Orleans
     Conference Venue
     Obtain Visa
     Getting There

Program Organization
   
Program Officers
     Program Committee
     Steering Committee

Previous SSDBMs

Sponsors

uno_reversed_150.gifDepartment of
Computer Science

SSDBM 2009 will bring together scientific domain experts, database researchers, practitioners, and developers for the presentation and exchange of current research concepts, tools, and techniques for scientific and statistical database applications.  SSDBM 2009 will continue the tradition of past SSDBM meetings in providing a stimulating environment to encourage discussion, fellowship, and exchange of ideas in all aspects of research related to scientific and statistical databases.

The 21st SSDBM conference provides a forum for original research contributions and practical system design, implementation, and evaluation. SSDBM 2009 invites original research contributions in any area related to scientific and statistical database management, including: 

·         Modeling & representation of data & knowledge for scientific domains

·         Metadata management for scientific & statistical data

·         Architectures for managing scientific data, including P2P- & wiki-based

·         Statistical analysis, mining, modeling, & summarization of scientific data

·         Storage, querying, & analysis of scientific data, including sensor streams

·         Modeling, management, & optimization of scientific workflows & experiments

·         Cyberinfrastructure & system architectures for scientific computing & e-science

·         Data integration for scientific data

·         Annotation & provenance management in scientific databases & workflows

·         Visualization of complex scientific data

·         Trust issues (privacy, security, reliability, quality) in scientific & statistical data

·         Case studies of data management in all domains of science

Short papers discussing new ideas or work at an early stage are also invited. To maximize interaction, the conference will hold a poster session for its short papers.