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SSTD 2009 : 11th International Symposium on Spatial and Temporal Databases


Conference Series : Symposium on Spatial and Temporal Databases
When Jul 8, 2009 - Jul 10, 2009
Where Aalborg, Denmark
Abstract Registration Due Feb 27, 2009
Submission Deadline Mar 6, 2009
Notification Due Apr 27, 2009
Final Version Due May 5, 2009

Call For Papers

Call for Research Papers

Authors are invited to submit electronically original research contributions or experience reports not concurrently submitted elsewhere. Submitted papers will be refereed by at least three reviewers for quality, correctness, originality, and relevance. Similar to the previous symposia, accepted papers will be published by Springer as proceedings in Lecture Notes in Computer Science (LNCS) . The space limit for full papers is 18 pages LNCS style. Details about the submission process can be found here.

Suggested topics include, but are not limited to, the following as they relate to spatial, temporal, and spatio-temporal databases:

* Data Types and Query Languages
* Database Design and Conceptual Modeling
* Data Stream Technologies
* Continuous Monitoring of Spatial Queries
* Design of Experiments, Benchmarks and Performance Evaluation
* Experiences with Real Applications and Systems
* Management of Moving Objects
* Novel and Challenging Applications
* Ontologies and Taxonomies
* Critical Evaluation of Standards Proposals
* Parallel and Distributed Database Systems
* Query Optimization Techniques, Query Processing and Indexing
* Geographic Information Retrieval
* Requirements Analysis for Applications
* Security and Integrity
* Privacy and Trust in Data Publishing
* Similarity in the Spatial and Temporal Context
* Aspects of Mobile Computing and Sensor Networks
* Data and the Web
* Data Mining, Knowledge Discovery and Stream Databases
* Data Warehousing and Decision Support
* Uncertainty and Imprecision
* Aspects of Social and Recommendation Systems
* Use of Spatio-Temporal Data for Simulation
* User Interfaces and Visualization


An award will be given to the best paper. In addition, the authors of best papers will be invited to submit extended versions of their work to a special issue of Geoinformatica for selected papers from SSTD 2009.

SSTD 2009 welcomes submissions of short papers, describing demonstrations of systems (developed or under development) related to the topics of interest. The selection criteria for the demonstration proposals evaluation include: the novelty, the technical advances and challenges, and the overall practical attractiveness of the demonstrated system. Accepted contributions will be presented at a special demo session during the symposium.

Submissions should be within four pages in LNCS format (which will be included in the proceedings), describing the scientific background, plus one page that describes the nature of the demonstration that will be given at SSTD. A submission should include:

* motivation for the demonstrated concepts
* information about the technology and the system to be demonstrated (including a system description, functionality and figures when applicable)
* justification of the system's significance

Details about the submission process can be found here.

Advanced Seminars

This new addition to the SSTD program will feature 3 half-day tutorials on state-of-the-art topics within spatio-temporal data management, held by distinguished international researchers. The exact choice of speakers and topics is yet to be determined, but likely topics include spatio-temporal modeling, indexing and query processing of spatio-temporal data, and spatio-temporal data mining and knowledge discovery. The targeted audience includes both doctoral students and more experienced researchers within the area. The seminars will be held on July 6 and 7, 2009.

Related Resources

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COSIT 2022   15th Conference on Spatial Information Theory
ECML PKDD 2021   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
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DBKDA 2022   The Fourteenth International Conference on Advances in Databases, Knowledge, and Data Applications
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