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2008年国际科学与统计数据库会议于7月9至11日在中国香港举行
SSDBM
2008
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.
2007年国际科学与统计数据库会议于7月9至11日在加拿大班弗的考格里大学举行
SSDBM
2007
19th
International Conference on Scientific and Statistical Database
Management
July
9-11, 2007, Banff,
Canada
SSDBM
2007 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.
The
19th SSDBM conference provides a forum for original research
contributions and practical system design, implementation, and
evaluation. In keeping with the mission of the Department
of Computer Science at the University
of Calgary, this year´s conference will focus on
applications of scientific and statistical databases to Scientific
and Statistical Computing, including:
·
Exploratory analysis, mining, and modeling of scientific data,
·
Stream data management and sensor networks,
·
Temporal, spatial, spatio-temporal, and multimedia databases,
·
Publish/Subscribe systems and data dissemination systems,
·
Web data management,
·
Ubiquitous data management and mobile databases,
·
Database applications and experiences,
·
Hardware-conscious scientific database systems.
In
addition to this year´s focus areas, SSDBM 2007 invites
original research contributions in any area related to scientific
and statistical database management, including:
·
Conceptual models for scientific databases,
·
Data modeling and representation standards,
·
Experiment data management,
·
Very large databases,
·
Performance evaluation,
·
Scientific visualization,
·
Indexing and query optimization,
·
Managing scale and complexity in databases,
·
Multimedia content retrieval,
·
Metadata management,
·
System architectures.
Short
papers discussing new ideas or work at an early stage are also
invited. The conference will feature invited talks and poster
sessions of short papers.
SSDBM
2007 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 database Management.
A
selected list of papers accepted to SSDBM 2007 will be invited to a
special issue of the Information
Systems Journal.
2006年国际科学与统计数据库会议于6月27至29日在奥地利维也纳大学举行
SSDBM
2006
18th
International Scientific and Statistical Database Management
Conference
University
Vienna, Austrian
2006-06-27
to 2006-06-29
Scope
This
international conference will bring together scientific domain
experts, databases researchers, practitioners and developers for the
presentation and exchange of current research concepts, tools and
techniques for scientific and statistical data base applications.
The 18th SSDBM will provide a forum for original research
contributions and practical system design, implementation and
evaluation. In keeping with the mission of the Faculty of Computer
Science at the University Vienna, this year´s conference will
focus on applications of scientific and statistical databases to
Scientific and Statistical Computing, including:
-
Data
and Computing on the Grid
-
Data
Warehousing, Registries and Integration
-
Ontologies
in Scientific Computing
-
Exploratory
Analysis and Modeling of Scientific Data
The
conference will also feature invited talks, panel sessions, poster
sessions, and demonstrations of research prototypes and industrial
systems. SSDBM 2006 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 data base management.
Topics
In
addition to this year´s focus areas, SSDBM invites original
research contributions in any area related to scientific and
statistical database management, including:
-
Conceptual
models for scientific databases
-
Data
modeling and representation standards
-
Experiment
data management
-
Very
large data bases
-
Performance
evaluation
-
Scientific
visualization
-
Indexing
and query optimization
-
Managing
scale and complexity in scientific data bases
-
Multimedia
content retrieval
-
Data
provenance
-
Metadata
management
-
System
architectures
Case
studies of SSDBM-related applications, demonstrations, and short
papers of poster sessions are also invited.
Keynote
Lectures at SSDBM 2006
SSDBM
2005
17th
International Scientific and Statistical Database Management
Conference
University of California
Santa Barbara
2005-06-27
to 2005-06-29
Scope
This
international conference will bring together scientific domain
experts, databases researchers, practitioners and developers for the
presentation and exchange of current research on concepts, tools and
techniques for scientific and statistical database applications. The
17th SSDBM will provide a forum for original research contributions
and practical system design, implementation and evaluation.
In
keeping with the mission of the Bren School, this year's conferences
will focus on applications of scientific and statistical databases
to environmental problems, including:
1、Very
large environmental databases
２、Geospatial
and spatiotemporal databases
３、Database
support for environmental modeling
４、Federated
environmental databases
The
conference will also feature invited talks, panel sessions, poster
sessions, and demonstrations of research prototypes and industrial
systems. SSDBM 2005 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 database management.
Topics
In
addition to this year's focus areas, SSDBM invites original research
contributions in any area related to scientific and statistical
database management, including:
-
Conceptual
models for scientific databases
-
Knowledge
management
-
Data
integration
-
Data
reduction and approximation
-
Data
warehouses
-
OLAP
-
Experiment
data management
-
Knowledge
and data sharing via XML
-
Knowledge
discovery and data mining
-
Metadata
management
-
Multimedia
data management
-
Performance
evaluation
-
Scientific
visualization
-
System
architectures
Case
studies of SSDBM-related applications, demonstrations, and short
papers for poster sessions are also invited.
Organization
and Program Committee Information
Program
Chair
James
Frew
Donald
Bren School of Environmental Science and Management
Univerity
of California, Santa Barbara
Santa
Barbara, CA 93106-5131
frew(at)bren.ucsb.edu
http://www.bren.ucsb.edu/~frew
Voice:
805-893-7356
Fax:
805-893-6113
Committee
Members
Amr
El Abbadi University of California, Santa Barbara
Chaitan
Baru San Diego Super Computer Center
Rajendra
Bose University of Edinburgh
Ewa
Deelman Information Sciences Institute
Max
Egenhofer University of Maine
Ian
Foster University of Chicago
Michael
Franklin University of California, Berkeley
James
French The National Science Foundation
Michael
Gertz University of California, Davis
Carole
Goble University of Manchester
Michael
Goodchild University of California, Santa Barbara
Robert
Grossman University of Illinois, Chicago
Oliver
Guenther Humboldt University of Berlin
Ralf
Hartmut Gueting FernUniversitaet in Hagen
Amarnath
Gupta San Diego Super Computer Center
Hans
Hinterberger Eidgenoessische Technische Hochschule Zuerich
Greg
Janee University of California, Santa Barbara
Christian
Jensen Aalborg Universitet
Graham
Kemp Chalmers University of Technology, Sweden
Daniel
Keim University of Konstanz
George
Kollios Boston University
Manolis
Kourbarakis Technical University of Crete
Miron
Livny University of Wisconsin
Leo
Mark Georgia Institute of Technology
Sally
McClean University of Ulster
William
Michener Long Term Ecological Research Network
Silvia
Nittel University of Maine
Beng
Chin Ooi National University of Singapore
Dimitris
Papadias Hong Kong University of Science and Technology
Norman
Paton University of Manchester
Jianwen
Su University of California, Santa Barbara
Alex
Szalay Johns Hopkins University
Xiaoyang
"Sean" Wang University of Vermont
Jian
Yang University van Tilburg
Xiaofang
Zhou University of Queensland
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