[ESIP-all] Fwd: Submission site open: 20th Intl. Conf. on Scientific and Statistical Database Management (SSDBM)
Peter Fox
pfox at ucar.edu
Fri Jan 11 22:16:09 EST 2008
Meeting of potential interest to ESIP. Apologies for the late notice
- the note was just received.
Begin forwarded message:
> From: "Bertram Ludaescher" <ludaesch at ucdavis.edu>
> Date: January 10, 2008 21:48:58 MST
> To: "Bertram Ludaescher" <ludaesch at cs.ucdavis.edu>
> Subject: Submission site open: 20th Intl. Conf. on Scientific and
> Statistical Database Management (SSDBM)
>
> [ 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)
>
>
>
> ----------------------------------------------------------------------
> ---------
> 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/
> ----------------------------------------------------------------------
> ---------
>
> 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/
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