SSTD 2015 - 14th International Symposium on Spatial and Temporal Databases 2015 (SSTD 2015)

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 http://stem.cs.pusan.ac.kr/SSTD2015. 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