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Present CFP : 2021
The International Symposium on Spatial and Temporal Databases 2021 (SSTD 2021)
Online (Possibly Hybrid Mode to be Decided Later) (23-25 August, 2021)
The International Symposium on Spatial and Temporal Databases 2021 (SSTD 2021) is the seventeenth 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.
Due to the pandemic, SSTD 2021 is scheduled in an online mode, with a possibly hybrid mode to be decided later depending on how the situation evolves. At least one author of each accepted paper must attend the conference virtually.
Call for Contributions:
SSTD 2021 solicits submissions in four tracks.
1. Research Track
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.
2. Demo Track
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.
3. Industry Track
Authors are invited to submit industry papers that describe original experiences, challenges, systems and applications in industry. For each industry paper, at least one author should have a non-academic affiliation.
4. Vision Track
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.
All submissions should be in English, formatted in PDF according to the ACM SIG Conference Proceedings (sigconf) template available at: http://www.acm.org/publications/proceedings-template. If you use Overleaf, you can access the ACM official template at: https://www.overleaf.com/gallery/tagged/acm-official#.WOuOk2e1taQ
Long research papers and industry papers are limited to 10 pages (ACM sigconf).
Short research papers, demo papers, and vision papers are limited to 4 pages (ACM sigconf). These page limits are inclusive of references and any appendices.
Papers should be submitted via Easychair (https://easychair.org/account/signin?l=LsgcJ4zwOlCzIl9WbQaTHk#) to the appropriate track.
Best submissions will be selected for an extended journal submission to a special track of “SSTD 2021 Best Papers” in GeoInfomatica. One of them will be selected as "SSTD's Ralf H. Güting Best Paper Award".
Erik Hoel (Esri)
Dev Oliver (Esri)
Raymond Wong (HKUST)
Ahmed Eldawy (UCR)
Submission Deadlines (All Tracks):
Abstract Deadline: 2 April, 2021
Full Paper Deadline: 9 April, 2021
Notification Deadline: 14 June, 2021
Camera-Ready Deadline: 2 July, 2021
Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone.
Topics of Interest:
Topics of interest for the four tracks include, but are not limited to, the following in the context of spatial, temporal, and spatio-temporal data.
* Access Methods and Indexing
* AI and Machine Learning
* Computational Geometry
* Crowdsourcing and User-Generated Content
* Data Mining and Knowledge Discovery
* Data Quality and Cleaning
* Data Types and Query Languages
* Database Design and Conceptual Modeling
* Data Science
* Experiments, Benchmarks, and Performance Evaluation
* Fairness, Accountability, and Transparency
* Graph Modeling and Algorithms
* Indoor Space
* Location-Based Services
* Map Matching
* 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
* Similarity Search
* Spatial Networks
* Spatio-textual Techniques
* Temporal Data and Data Streams
* Uncertain, Imprecise, and Probabilistic Data
* Urban Planning
* User Interfaces and Visualization