International Symposium on Spatial and Temporal Databases
会议地点: Vienna, Austria
The International Symposium on Spatial and Temporal Databases 2019 (SSTD 2019) is the sixteenth event of a series of biannual symposia that discuss new and exciting research in spatial, temporal and spatio-temporal data management and related technologies with the goal to set 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 2019 solicits submissions in four tracks.
Authors are invited to submit long research papers that present original research contributions. The selection criteria include quality, novelty, correctness, and relevance to SSTD. Authors are also invited to submit short research papers that discuss exciting new work that is not yet mature enough for a long paper. In particular, novel but significant proposals will be considered for acceptance to this category despite not having gone through sufficient experimental validation or lacking strong theoretical foundation.
Authors are invited to submit demo papers, describing demonstrations of systems, developed or under development. The selection criteria for the demonstration proposals include: the novelty, the technical advances and challenges, and the overall practical attractiveness of the demonstrated system.
Authors are invited to submit industry papers that describe original experiences, challenges, systems and applications in industry.
Authors are invited to submit vision papers that describe revolutionary ideas that are likely to guide research in the near future, challenge existing assumptions prevalent in the research community, or identify novel applications and technology trends that create new research challenges.
Topics of interest for all four tracks include, but are not limited to, the following in the context of spatial, temporal, and spatio-temporal data:
* Access Methods
* AI and Machine Learning
* Computational Geometry
* Crowdsourcing and User-Generated Content
* Data Mining and Knowledge Discovery
* Data Quality and Cleaning
* Data Streams
* Data Types and Query Languages
* Data Warehousing and Decision Support
* Database Design and Conceptual Modeling
* Experiments, Benchmarks, and Performance Evaluation
* Fairness, Accountability, and Transparency
* Geographic Information Retrieval
* Graph Modeling and Algorithms
* Indoor Space
* Location-Based Services
* Location-Based Social Networks
* Map Matching
* Moving Objects
* New Hardware Platforms
* Ontologies and Taxonomies
* Parallel and Distributed Databases
* Privacy, Security, and Integrity
* Query Optimization
* Real Applications and Systems
* Recommender Systems
* Semantic Data Techniques and Reasoning
* Sensor Networks
* Similarity Search
* Spatial Networks
* Spatio-textual Techniques
* Uncertain, Imprecise, and Probabilistic Data
* Urban Planning
* User Interfaces and Visualization
* Web Information Retrieval