20th
International Conference on
Scientific
and Statistical Database Management (SSDBM)
July
9-11, 2008, Hong
Kong, China
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.
SSDBM
will
address all areas of scientific and statistical database management. We
solicit
full papers (up to 18 pages LNCS style) describing original work not
published
or under review elsewhere. Papers selected after peer review will be
included
in the conference proceedings and presented orally at the conference.
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.
Accepted
short papers will be featured in a poster-and-demonstration session.