Accepted Demos

Demo 1: Data Mining, Graph, Text, and Semi-structured Data

  • Evaluating SPARQL Queries on Massive RDF Datasets
    Razen Harbi, KAUST; Ibrahim Abdelaziz*, King Abdullah University of Science and Technology; Panos Kalnis, King Abdullah University of Science and Technology; Nikos Mamoulis, University of Ioannina, Greece
  • Demonstration of Santoku: Optimizing Machine Learning over Normalized Data
    Arun Kumar*, University of Wisconsin-Madiso; Mona Jalal, University of Wisconsin-Madison; Boqun Yan, University of Wisconsin-Madison; Jeffrey Naughton, U. Wisconsin-Madison; Jignesh Patel, University of Wisconsin
  • PRISM: Concept-preserving Summarization of Top-K Social Image Search Results
    Boon-Siew Seah, Nanyang Technological Univ; Sourav S Bhowmick*, Nanyang Technological Univ; Aixin Sun, Nanyang Technological Univ
  • SPARTex: A Vertex-Centric Framework for RDF Data Analytics
    Ibrahim Abdelaziz*, King Abdullah University of Science and Technology; Razen Harbi, KAUST; Semih Salihoglu, Stanford University; Panos Kalnis, King Abdullah University of Science and Technology; Nikos Mamoulis, University of Ioannina, Greece
  • I2RS: A Distributed Geo-Textual Image Retrieval and Recommendation System
    Lu Chen, Zhejiang University; Yunjun Gao*, Zhejiang University; Zhihao Xing, Zhejiang University; Christian Jensen, ; Gang Chen, Zhejiang University
  • Reformulation-based query answering in RDF: alternatives and performance
    Damian Bursztyn*, INRIA; Francois Goasdoue, University of Rennes 1; Ioana Manolescu, Inria, France
  • TreeScope: Finding Structural Anomalies In Semi-Structured Data
    Shanshan Ying, ADSC; Flip Korn, ; Barna Saha, UMass Amherst; Divesh Srivastava*, AT&T Labs-Research
  • PERSEUS: An Interactive Large-Scale Graph Mining and Visualization Tool
    Danai Koutra*, Carnegie Mellon University; Di Jin, Carnegie Mellon University; Yuanchi Ning, Uber; Christos Faloutsos,
  • Virtual eXist-db: Liberating Hierarchical Queries from the Shackles of Access Path Dependence
    Curtis Dyreson*, Utah State University; Sourav S Bhowmick, Nanyang Technological Univ; Ryan Grapp, Utah State University
  • FLORIN – A System to Support (Near) Real-Time Applica-tions on User Generated Content on Daily News
    Qingyuan Liu, Temple University; Eduard Dragut*, Temple University; Arjun Mukherjee, University of Houston; Weiyi Meng, Binghamton University
  • A Framework for Clustering Uncertain Data
    Erich Schubert*, LMU Munich; Alexander Koos, Ludwig-Maximilians-Universität München; Tobias Emrich, LMU Munich; Andreas Züfle, Ludwig-Maximilians-Universität München; Klaus Schmid, Ludwig-Maximilians-Universität München; Arthur Zimek, LMU Munich
  • Query-oriented summarization of RDF graphs
    Sejla Cebiric*, INRIA; Francois Goasdoue, University of Rennes 1; Ioana Manolescu, Inria, France
  • Universal-DB: Towards Representation Independent Graph Analytics
    Yodsawalai Chodpathumwan, University of Illinois; Amirhossein Aleyassin, University of Illinois at Urbana-Champaign; Arash Termehchy*, ; Yizhou Sun, Northeastern University
  • Tornado: A Distributed Spatio-Textual Stream Processing System
    Ahmed Mahmood*, ; Ahmed Aly, Purdue University; Thamir Qadah, Purdue University; El Kindi Rezig, Purdue University; Anas Daghistani, Purdue University; Amgad Madkour, Purdue; Ahmed Abdelhamid, Purdue University; Mohamed Hassan, ; Walid Aref, Purdue University, USA; Saleh Basalamah, Umm Al-Qura University
  • S+EPP: Construct and Explore Bisimulation Summaries, plus Optimize Navigational Queries; all on Existing SPARQL Systems
    Mariano Consens*, University of Toronto; Valeria Fionda, University of Calabria; Shahan Khatchadourian, University of Toronto; Giuseppe Pirrò, ICAR-CNR
  • GraphGen: Exploring Interesting Graphs in Relational Data
    Konstantinos Xirogiannopoulos*, University of Maryland; Udayan Khurana, University of Maryland at College Park; Amol Deshpande, U of Maryland
  • StarDB: A Large-Scale DBMS for Strings
    Majed Sahli*, KAUST; Essam Mansour, QCRI; Panos Kalnis, King Abdullah University of Science and Technology

Demo 2: Information Retrieval, Data Quality, and Provenance

  • A Topic-based Reviewer Assignment System
    Ngai Meng Kou, University of Macau; Leong Hou U*, University of Macau; Nikos Mamoulis, Depart of Computer Science, The University of Hong Kong, Hong Kong; Yuhong Li, University of macau; Ye Li, University of Macau; Zhiguo Gong, University of Macau
  • Data Profiling with Metanome
    Thorsten Papenbrock*, Hasso-Plattner-Institute; Tanja Bergmann, Hasso-Plattner-Institute; Moritz Finke, Hasso-Plattner-Institute; Jakob Zwiener, Hasso-Plattner-Institute; Felix Naumann, Hasso-Plattner-Institute
  • Provenance for SQL through Abstract Interpretation: Value-less, but Worthwhile
    Tobias Müller, U Tübingen, Germany; Torsten Grust*, U Tübingen, Germany
  • SAASFEE: Scalable Scientific Workflow Execution Engine
    Marc Bux*, Humboldt-Universität zu Berlin; Jörgen Brandt, Humboldt-Universität zu Berlin; Carsten Lipka, Humboldt-Universität zu Berlin; Kamal Hakimzadeh, KTH Royal Institute of Technology; Jim Dowling, KTH Royal Institute of Technology; Ulf Leser, Humboldt Universität zu Berlin
  • QOCO: A Query Oriented Data Cleaning System with Oracles
    Moria Bergman, Tel Aviv University; Tova Milo, Tel Aviv University; Slava Novgorodov*, Tel Aviv University; Wang-Chiew Tan, University of California, Santa Cruz
  • Collaborative Data Analytics with DataHub
    Anant Bhardwaj*, MIT; Aaron Elmore, MIT; Sam Madden, MIT; Aditya Parameswaran, ; Amol Deshpande, U of Maryland; Eugene Wu, Columbia; Rebecca Zhang, MIT; David Karger, MIT; Harihar Subramanyam, MIT
  • Mindtagger: A Demonstration of Data Labeling in Knowledge Base Construction
    Jaeho Shin*, Stanford University; Christopher Re, Stanford University; Mike Cafarella, University of Michigan
  • Annotating Database Schemas to Help Enterprise Search
    Eli Cortez, Microsoft Corporation; Philip Bernstein*, Microsoft; Yeye He, Microsoft Research; Lev Novik, Microsoft Corporation
  • KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing
    Xu Chu, University of Waterloo; John Morcos, University of Waterloo; Ihab Ilyas, University of Waterloo; Mourad Ouzzani, QCRI; Paolo Papotti, Qatar Computing Research Institute (QCRI); Nan Tang*, QCRI, Qatar; Yin Ye, Google
  • Gain Control over your Integration Evaluations Using iBench
    Patricia Arocena, University of Toronto; Radu Ciucanu*, University of Lille, INRIA; Boris Glavic, IIT; Renee Miller, U. Toronto, Canada
  • Janiform Intra-Document Analytics for Reproducible Research
    Jens Dittrich*, Saarland University, Germany; Patrick Bender, Saarland University
  • EFQ: Why-Not Answer Polynomials in Action
    Katerina Tzompanaki*, University Paris Sud; Nicole Bidoit, Université Paris Sud - INRIA; Melanie Herschel, University of Stuttgart
  • Error Diagnosis and Data Profiling with Data X-Ray
    Xiaolan Wang*, University of Massachusetts Amherst; Mary Feng, ; Yue Wang, U of Massachusetts Amherst; Xin Luna Dong, Google Inc; Alexandra Meliou, University of Massachusetts Amherst
  • Sharing and Reproducing Database Applications
    Quan Pham, Computation Institute, University of Chicago; Severin Thaler, University of Chicago; Tanu Malik, University of Chicago; Ian Foster, University of Chicago; Boris Glavic*, IIT
  • A Demonstration of TripleProv: Tracking and Querying Provenance over Web Data
    Marcin Wylot*, University of Fribourg; Philippe Cudré-Mauroux, ; Paul Groth,
  • WADaR: Joint Wrapper and Data Repair
    Stefano Ortona*, University of Oxford; Giorgio Orsi, University of Oxford; Marcello Buoncristiano, Universita della Basilicata; Tim Furche, University of Oxford
  • Wisteria: Nurturing Scalable Data Cleaning Infrastructure
    Daniel Haas*, UC Berkeley; Sanjay Krishnan, UC Berkeley; Jiannan Wang, UC Berkeley; Michael Franklin, ; Eugene Wu, Columbia University

Demo 3: Systems, User Interfaces, and Visualization

  • FP-Hadoop: Efficient Execution of Parallel Jobs Over Skewed Data
    Miguel Liroz-Gistau*, INRIA; Reza Akbarinia, INRIA; Patrick Valduriez , Inria Sophia-Antipolis Méditerranée
  • SDB: A Secure Query Processing System with Data Interoperability
    Zhian He*, The Hong Kong Polytechnic Univ; WaiKit Wong, Department of Computing, Hang Seng Management College; Ben Kao, Department of Computer Science, University of Hong Kong; David W. Cheung, Department of Computer Science, University of Hong Kong; Rongbin Li, Department of Computer Science, University of Hong Kong; Siu Ming Yiu, Department of Computer Science, University of Hong Kong; Eric Lo, Polytecnic University of Hong Kong
  • A Demonstration of HadoopViz: An Extensible MapReduce-based System for Visualizing Big Spatial Data
    Ahmed Eldawy, University of Minnesota; Mohamed Mokbel*, University of Minnesota; Christopher Jonathan, University of Minnesota
  • A Demonstration of the BigDAWG Multi-Database System
    Aaron Elmore*, MIT; Jennie Duggan, Northwestern; Michael Stonebraker, MIT; Manasi Vartak, MIT; Sam Madden, MIT; Vijay Gadepally, MIT; Jeremy Kepner, MIT; Timothy Mattson, Intel; Jeff Parhurst, Intel; Stavros Papadopoulos, MIT; Nesime Tatbul, Intel Labs and MIT; Magdalena Balazinska, Univsersity of Washington; Bill Howe, University of Washington; Jeffrey Heer, University of Washington; David Maier, Portland State University; Tim Kraska, Brown; Ugur Cetintemel, Brown University; Stan Zdonik, Brown University
  • RINSE: Interactive Data Series Exploration
    Kostas Zoumpatianos*, University of Trento; Stratos Idreos, Harvard; Themis Palpanas, Paris Descartes University
  • Smart Drill-Down: A New Data Exploration Operator
    Manas Joglekar*, Stanford University; Hector Garcia-Molina, Stanford University; Aditya Parameswaran,
  • VIIQ: auto-suggestion enabled visual interface for interactive graph query formulation
    Nandish Jayaram*, University of Texas at Arlingt; Sidharth Goyal, University of Texas at Arlington; Chengkai Li, University of Texas at Arlington
  • VINERy: A Visual IDE for Information Extraction
    Yunyao Li*, IBM Almaden Research Center, US; Elmer Kim, IBM ; Marc Touchette, IBM; Ramiya Venkatachalam, IBM; Hao Wang,
  • GIS navigation boosted by column stores
    Foteini Alvanaki*, CWI; Romulo Goncalves, Netherlands eScience Center; Milena Ivanova, NuoDB; Martin Kersten, CWI; Kostis Kyzirakos, CWI
  • AIDE: An Automatic User Navigation System for Interactive Data Exploration
    Yanlei Diao, University of Massachusetts Amherst; Kyriaki Dimitriadou, Brandeis university; Zhan Li, Brandeis University; Wenzhao Liu, UMass Amherst; Olga Papaemmanouil*, Brandeis University; Kemi Peng, Brandeis University; Liping Peng, UMass Amherst
  • A Demonstration of AQWA: Adaptive Query-Workload-Aware Partitioning of Big Spatial Data
    Ahmed Aly*, Purdue University; Ahmed Abdelhamid, Purdue University; Ahmed Mahmood, ; Walid Aref, Purdue University, USA; Mohamed Hassan, ; Hazem Elmeleegy, ; Mourad Ouzzani, QCRI
  • Data-Spread: Unifying Databases and Spreadsheets
    Mangesh Bendre*, UIUC; Bofan Sun, UIUC; Ding Zhang, UIUC; Xinyan Zhou, UIUC; Kevin Chang, University of Illinois at Urbana-Champaign; Aditya Parameswaran,
  • CODD: A Dataless Approach to Big Data Testing
    Ashoke S, Indian Institute of Science; Jayant Haritsa*, IISc, India
  • Vizdom: Interactive Analytics through Pen and Touch
    Andrew Crotty*, Brown University; Alex Galakatos, Brown University; Emanuel Zgraggen, Brown University; Carsten Binnig, Brown University; Tim Kraska, Brown University
  • DBSeer: Pain-free Database Administration through Workload Intelligence
    Dong Young Yoon, ; Douglas Brown, ; Barzan Mozafari*, University of Michigan