Workshop Program
The Zoom link for joining the online meeting of the workshop can be found at https://www.sigmod2020online.org. In order to access this website, you have to first register for free through the 2020 SIGMOD/PODS registration page.
| From | To | |
|---|---|---|
| 09:00 | 09:10 | Welcome message |
| 09:10 | 10:30 | Keynote |
| 10:30 | 11:00 | Coffee Break |
| 11:00 | 12:20 | Paper Session |
| 12:20 | 12:30 | Closing remarks |
All times in local Portland time, PDT.
Keynote
Machine Learning for Big Spatial Data and ApplicationsThis talk will focus on our recent efforts in adopting machine learning techniques for big spatial data and applications. This includes going for two orthogonal, but related, directions. First, injecting the spatial awareness inside machine learning techniques and applications, which will result in a higher accuracy for such applications. Second, taking advantage of the recent advances in machine learning techniques to boost the usability, deployment, scalability, and accuracy of long lasting spatial and spatio-temporal data analysis techniques. For the first direction, we will present the Sya system as a full-fledged spatial machine leaning-based probabilistic knowledge base construction system. For the second direction, we will present machine-learning-based techniques for spatial autologistic regression and shortest path queries.
Short Bio:
Mohamed Mokbel (PhD, Purdue University, MSc, BSc, Alexandria University) is Chief Scientist at Qatar Computing Research Institute and a Professor at University of Minnesota. His current research interests focus on systems and machine learning techniques for big spatial data and applications. Mohamed is an IEEE Fellow and ACM Distinguished Scientist. His research work has been recognized by the NSF CAREER Award, VLDB 10-years Best Paper Award, and four conference Best Paper Awards. Mohamed is the past elected Chair of ACM SIGPATIAL, current Editor-in-Chief for Distributed and Parallel Databases Journal, and on the editorial board of ACM Books, ACM TODS, VLDB Journal, ACM TSAS, and GoeInformatica journals. He has also served as PC Vice Chair of ACM SIGMOD and PC Co-Chair for ACM SIGSPATIAL and IEEE MDM.
Paper Session (15+5 mins per paper)
- Similarity Search over Enriched Geospatial Data
Kostas Patroumpas and Dimitrios Skoutas - Geopriv4j: An Open Source Repository for Location Privacy
Liyue Fan and Sriram Gunja - Evaluating Computational Geometry Libraries for Big Spatial Data Exploration
Yaming Zhang and Ahmed Eldawy - Boosting Toponym Interlinking by paying Attention to both Machine and Deep Learning
Konstantinos Alexis, Vassilis Kaffes and Giorgos Giannopoulos