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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 (*; 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)

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