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SSTD 2015 : 14th International Symposium on Spatial and Temporal Databases


Conference Series : Symposium on Spatial and Temporal Databases
When Aug 26, 2015 - Aug 28, 2015
Where Seoul, South Korea
Abstract Registration Due Mar 27, 2015
Submission Deadline Apr 3, 2015
Notification Due May 22, 2015
Final Version Due Jun 10, 2015
Categories    databases   information retrieval   data management   data mining

Call For Papers

14th International Symposium on Spatial and Temporal Databases 2015 (SSTD 2015)
August 26-28, 2015, Seoul, South Korea

The International Symposium on Spatial and Temporal Databases 2011 (SSTD 2011) is the twelfth event of a series of biannual symposia that discuss new and exciting research in spatial, temporal and spatio-temporal data management and related technologies and start setting future research directions. The primary focus of SSTD symposia is on original results in the areas of theoretical foundations, design, implementation, and
applications of spatial and temporal database technology. SSTD also welcomes experience reports from application specialists and the commercial community that describe lessons learned in the development, operation, and maintenance of actual systems in practical and innovative applications. The goal is to exchange research ideas and results across academia, industry and government from diverse geographies, and career stages. SSTD 2015 will be held in Seoul, South Korea, August 26-28, 2015 at Center Mark Hotel, which is located at Insa-Dong, the most tourist place in Korea.

Authors are invited to submit original research contributions or experience repots. Similar to the previous symposia, accepted papers will be published by Springer as proceedings in Lecture Notes in Computer Science (LNCS) (pending approval). The space limit for full papers is 18 pages LNCS style. Details about the submission process can be found Topics include, but are not limited to, the following in context of spatial, temporal and spatio-temporal databases:

- Access Method
- Big Data
- Computational Geometry
- Critical Evaluation of Standards Proposals
- Crowdsourcing Spatial Data
- Database Design and Conceptual Modeling
- Data Mining and Knowledge Discovery
- Data Quality and Cleaning
- Data Types and Query Languages
- Data Warehousing and Decision Support
- Experiments, Benchmarks and Performance Evaluation
- Geographic Information Retrieval
- Graph Modeling and Algorithms
- Keyword Search in Databases
- Indoor Space
- Ontologies and Taxonomies
- Parallel and Distributed Databases
- Privacy, Security and Integrity
- Query Optimization
- Real Applications and Systems
- Recommendation Systems
- Spatial (Road) Networks
- Sensor Networks
- Spatial Data Streams
- Uncertain, Imprecise and Probabilistic Data
- User Interfaces and Visualization
- Web Information Retrieval

SSTD Steering Committee (Board of directors)
Ralf Hartmut Guting
Agnes Voisard
Nikos Mamoulis
Yan Huang
Elisa Bertino
Claudia Bauzer Medeiros
Mario Nascimento
Honorary Chair
Kyu-Young Whang
General Co-chairs
Cyrus Shahabi
Ki-Joune Li
PC Co-chairs
Christophe Claramunt
Raymond Chi-Wing Wong
Demo Chair
Li Xiong
Publicity Co-chairs
Jin Soung Yoo
Baihua Zheng
Sponsorship Co-chairs
Siva Ravada
Erik Hoel
Mehdi Sharifzadeh
Proceedings Chair
Woong-Kee Loh
Local Arrangement Chair
Hae-Kyong Kang
Juhyun Ham

Related Resources

CIKM 2017   The 26th 2017 ACM Conference on Information and Knowledge Management
DSTUI 2016   1st International Workshop on Dealing with Spatial and Temporal Uncertainty and Imprecision
PAKDD 2017   The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
IJE 2016   International Journal of Education
DASFAA 2017   The 22nd International Conference on Database Systems for Advanced Applications
SIGIR 2017   The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
TIME 2016   23rd International Symposium on Temporal Representation and Reasoning
ICKE 2017   2017 3rd International Conference on Knowledge Engineering (ICKE 2017)
MLDM 2017   Machine Learning and Data Mining in Pattern Recognition