SIGMOD 2021: Accepted Demo Papers
- A Byzantine Fault Tolerant Storage for Permissioned Blockchain
Xiaodong Qi (East China Normal University); Zhihao Chen (East China Normal University); Zhao Zhang (East China Normal University); Cheqing Jin (East China Normal University)*; Aoying Zhou (East China Normal University ); Haizhen Zhuo (Ant Group); Quangqing Xu (Ant Group)
- Attaining Workload Scalability and Strong Consistency for Replicated Databases with Hihooi
Michael Georgiou (Cyprus University of Technology); Michael Panayiotou (Cyprus University of Technology); Lambros Odysseos (Cyprus University of Technology); Aristodemos Paphitis (Cyprus University of Technology); Michael Sirivianos (Cyprus University of Technology); Herodotos Herodotou (Cyprus University of Technology)*
- TardisDB: Extending SQL to Support Versioning
Maximilian E Schüle (Technical University of Munich)*; Josef Schmeißer (Technical University of Munich); Thomas Blum (TUM); Alfons Kemper (TUM); Thomas Neumann (TUM)
- mlinspect: a Data Distribution Debugger for Machine Learning Pipelines
Stefan Grafberger (TU Munich); Shubha Guha (University of Amsterdam); Julia Stoyanovich (New York University); Sebastian Schelter (University of Amsterdam)*
- Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning
Junxiong Wang (Cornell University)*; Immanuel Trummer (Cornell); Debabrota Basu (Inria)
- TSExplain: Surfacing Evolving Explanations for Time Series
Yiru Chen (Columbia University)*; Silu Huang (Microsoft)
- Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries
Ziyun Wei (Cornell University)*; Immanuel Trummer (Cornell); Connor Anderson (Cornell University)
- SOFOS: Demonstrating the Challenges of Materialized View Selection on Knowledge Graphs
Georgia Troullinou (FORTH-ICS); Haridimos Kondylakis (FORTH-ICS); Matteo Lissandrini (Aalborg University); Davide Mottin (Aarhus University)*
- A System for Automated Open-Source Threat Intelligence Gathering and Management
Peng Gao (University of California, Berkeley)*; Xiaoyuan Liu (University of California, Berkeley); Edward Choi (University of California, Berkeley); Bhavna Soman (Microsoft); Chinmaya Mishra ( Microsoft); Kate Farris (Microsoft); Dawn Song (UC Berkeley)
- DPGraph: A Benchmark Platform for Differentially Private Graph Analysis
Siyuan Xia (University of Waterloo); Beizhen Chang (University of Waterloo); Karl Knopf (University of Waterloo); Yihan He (New York University); Yuchao Tao (Duke University); Xi He (University of Waterloo)*
- CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning
Anna Fariha (University of Massachusetts Amherst)*; Ashish Tiwari (Microsoft); Alexandra Meliou (University of Massachusetts Amherst); Arjun Radhakrishna (Microsoft); Sumit Gulwani (Microsoft Research)
- Boomerang: Proactive Insight-Based Recommendations for Guiding Conversational Data Analysis
Doris Lee (UC Berkeley); Abdul H Quamar (IBM Research Almaden)*; Eser Kandogan (Megagon Labs); Fatma Ozcan (Google)
- PyExplore: Query Recommendations for Data Exploration without Query Logs
Apostolos Glenis (UNIPI)*; Georgia Koutrika (ATHENA Research Center)
- INCA: Inconsistency-Aware Data Profiling and Querying
Ousmane Issa (UCA, LIMOS)*; Angela Bonifati (Univ. of Lyon); Farouk Toumani (UCA, LIMOS)
- RawVis: A System for Efficient In-situ Visual Analytics
Stavros Maroulis (Research Center ATHENA)*; Nikos Bikakis (Athena); George Papastefanatos (ATHENA Research Center); Panos Vassiliadis (University of Ioannina); Yannis Vassiliou (NTUA)
- GRIP: Constraint-based Explanation of Missing Entities in Graph Search
Qi Song (Amazon.com)*; Hanchao Ma (Case Western Reserve University); Peng Lin (Washington State University); Yinghui Wu (Case Western Reserve University)
- Crosstown Foundry: A Scalable Data-driven Journalism Platform for Hyper-local News
Luciano Nocera (University of Southern California)*; Giorgos Constantinou (University of Southern California); Luan V Tran (University of Southern California); Seon Ho Kim (University of Southern California); Gabriel Kahn (University of Southern California); Cyrus Shahabi (Computer Science Department. University of Southern California)
- IndoorViz: A Demonstration System for Indoor Spatial Data Management
Yue Li (East China Normal University); Shiyu Yang (Guangzhou University)*; Muhammad Aamir Cheema (Monash University); Zhou Shao (Monash University); Xuemin Lin (University of New South Wales)
- FeatTS: Feature-based Time Series Clustering
Donato Tiano (Université Lyon 1)*; Angela Bonifati (Univ. of Lyon); Raymond Ng (UBC)
- SRA: Smart Recovery Advisor for Cyber Attacks
Ka-Ho Chow (Georgia Institute of Technology)*; Umesh Deshpande (IBM Research - Almaden); Sangeetha Seshadri (IBM Research - Almaden); Ling Liu (Georgia Institute of Technology)
- DataMingler: A Novel Approach to Data Virtualization
Damianos Chatziantoniou (Athens University of Economics and Business)*; Verena Kantere (National Technical University of Athens)
- Dendrite: Bolt-on Adaptivity for Data Systems
Brad Glasbergen (University of Waterloo)*; Fangyu Wu (University of Waterloo); Khuzaima Daudjee (University of Waterloo)
- Vertex-Centric Visual Programming for Graph Neural Networks
Yidi Wu (The Chinese University of Hong Kong)*; Yuntao Gui (The Chinese University of Hong Kong); Tatiana Jin (CUHK); James Cheng (CUHK); Xiao Yan (Southern University of Science and Technology); Peiqi Yin (Southern University of Science and Technology); Yufei Cai (Southern University of Science and Technology); Bo Tang (Southern University of Science and Technology); Fan Yu (Huawei Technologies Co. Ltd)
- BEER: Blocking for Effective Entity Resolution
Sainyam Galhotra (University of Massachusetts Amherst)*; Donatella Firmani (Roma Tre University); Barna Saha (University of California, Berkeley); Divesh Srivastava (AT&T Labs Research)
- QuTE: Answering Quantity Queries from Web Tables
Vinh Thinh Ho (Max Planck Institute for Informatics)*; Koninika Pal (Max Planck Institute for Informatics ); Gerhard Weikum (Max-Planck-Institut fur Informatik)
- Transforming ML Predictive Pipelines into SQL with MASQ
Francesco Del Buono (University of Modena e Reggio Emilia); Matteo Paganelli (Università di Modena e Reggio Emilia); Paolo Sottovia (Huawei); Matteo Interlandi (Microsoft); Francesco Guerra (University of Modena e Reggio Emilia)*
- CAvSAT: Answering Aggregation Queries over Inconsistent Databases via SAT Solving
Akhil A Dixit (University of California, Santa Cruz)*; Phokion Kolaitis (UCSC & IBM Research - Almaden)
