[kepler-dev] Submission site open: 20th Intl. Conf. on Scientific and Statistical Database Management (SSDBM)

[Bertram Ludaescher]

[ Apologies if you receive multiple copies of this announcement ]

The paper submission site for SSDBM 2008 is now open!

Visit http://www.easychair.org/conferences/?conf=ssdbm08 or follow the link
from the conference website.

Abstracts are due this Friday, January 11th;
paper submissions (regular or short) are due next Friday, January 18th.

Proceedings will be appear in Springer LNCS (and indexed by books.google.com
)



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                               Call For Papers
                       20th International Conference on
                Scientific and Statistical Database Management
                               July 9-11, 2008
                               Hong Kong, China


http://www.cs.hku.hk/~ssdbm/<http://www.cs.hku.hk/%7Essdbm/>
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The SSDBM conference series focuses on concepts, tools, and techniques for
scientific and statistical database applications. The 2008 meeting marks the
20th time that scientific domain experts, databases researchers,
practitioners
and developers will come together to share their new insights and to discuss
in
a stimulating environment future research directions. The conference will
consist of a single track of presentations, including invited talks and
peer-reviewed papers selected from among the submissions to this call for
papers, and panel discussions. The conference proceedings will be published
as
a volume in Springer's Lecture Notes in Computer Science (LNCS) series.

Topics of particular interest include (but are not limited to):

   - Scientific data management in all domains, e.g. environmental
   health, biology, genomics, Earth science, physics, and astronomy
   - Spatial, temporal, spatio-temporal, semantic models for scientific
   domains
   - Ontologies for space and time
   - Scientific computing with domain ontologies
   - Conceptual models, data models, knowledge representation of
   scientific data
   - Statistical data analysis of scientific and large-scale data sets
   - Similarity comparisons of datasets
   - Summarization of large-scale datasets
   - Mining of large-scale scientific and statistical datasets
   - Exploratory analysis and modeling of scientific and statistical
   datasets
   - Experiment data and process management
   - Scientific data integration
   - Cyberinfrastructure for scientific computing and eScience
   - Scientific workflow models, design, management, and optimization
   - Provenance in scientific databases and workflows
   - Visualization of complex scientific data
   - Metadata management
   - Storage, querying, and analysis of sensor streams
   - Privacy protection in scientific and statistical datasets
   - System architectures


We also invite short papers (up to 6 pages LNCS style) describing systems
and software demonstrations or discussing new ideas or work in an early
stage.

For further details, see
http://www.cs.hku.hk/~ssdbm/<http://www.cs.hku.hk/%7Essdbm/>
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