Welcome

• Homepage
• News
• Conference Booklet
• FAQ-Attendees
• FAQ-Sponsors & Exhibitors

Organization

• Conference Officers
• SIGMOD PC
• PODS PC
• SIGMOD Demo PC
• SIGMOD Industry PC
• Affiliated Workshops
• SIGMOD Experimental Reproducibility Effort
• Sponsors/Exhibitors

Links

• Web Streaming and Social Media
• For Students
• Accommodations
• Registration
• Transportation
• Explore Arizona
• Visit Scottsdale
• Visa Information
• Past Conferences
• ACM SIGMOD Online

Calls For Submissions

• Important Dates
• Calls for Submissions

PODS Program

• Schedule at a Glance
• Program
• Research Papers
• Keynote: Surajit Chaudhuri (Microsoft Research)
• Tutorial 1: Benjamin Pierce (University of Pennsylvania)
• Tutorial 2: Michael Mahoney (Stanford University)
• Awards

SIGMOD Program

• Schedule at a Glance
• Program
• Research Papers

• Keynote 1: Pat Hanrahan (Stanford University and Tableau Software)

• Keynote 2: Amin Vahdat (University of California, San Diego and Google)

• Demonstrations
• Tutorials
• Industrial Presentations
• Awards

Workshops Program

• Schedule at a Glance
• Program

Conference Program: SIGMOD Sessions

This page describes the complete SIGMOD Conference program. Please use the following links to skip to the sessions of interest:

• Research Sessions
• Industry Sessions
• Tutorials
• Demonstrations
• Keynote Talks and Research Plenary Session
• Poster Sessions
• Undergraduate Research Poster Competition
• New Researcher Symposium

 

SIGMOD RESEARCH SESSIONS

Research 1: Distributed and Parallel Databases

Location: Arizona Ballroom V
Hashtag: #sigmod12 #R1Px
Session Chair: Anastasia Ailamaki (EPFL)

• Calvin: Fast Distributed Transactions for Partitioned Database Systems
  Alexander Thomson, Yale University; Thaddeus Diamond, Yale University; Shu-Chun Weng, Yale University; Kun Ren, Yale University; Philip Shao, Yale University; Daniel J. Abadi, Yale University
• Advanced Partitioning Techniques for Massively Distributed Computation
  Jingren Zhou, Microsoft; Nicolás Bruno, Microsoft; Wei Lin, Microsoft
• SkewTune: Mitigating Skew in MapReduce Applications
  YongChul Kwon, University of Washington; Magdalena Balazinska, University of Washington; Bill Howe, University of Washington; Jerome Rolia, HP Labs

Research 2: Indexing and Physical Database Design I

Location: Arroyo CDE
Hashtag: #sigmod12 #R2Px
Session Chair: Ashraf Aboulnaga (University of Waterloo)

• Parallel Main-Memory Indexing for Moving-Object Query and Update Workloads
  Darius Sidlauskas, Aalborg University; Simonas Saltenis, Aalborg University; Christian S. Jensen, Aarhus University
• Divergent Physical Design Tuning for Replicated Databases
  Mariano P. Consens, University of Toronto; Kleoni Ioannidou, University of California, Santa Cruz; Jeff LeFevre, University of California, Santa Cruz; Neoklis Polyzotis, University of California, Santa Cruz
• Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems
  Andrew Pavlo, Brown University; Carlo Curino, Yahoo! Research; Stanley Zdonik, Brown University

Research 3: Data Cleaning and Integration

Location: Arizona Ballroom V
Hashtag: #sigmod12 #R3Px
Session Chair: Cong Yu (Google Research)

• Sample-Driven Schema Mapping
  Li Qian, University of Michigan, Ann Arbor; Michael J. Cafarella, University of Michigan, Ann Arbor; H. V. Jagadish, University of Michigan, Ann Arbor
• Can we Beat the Prefix Filtering? An Adaptive Framework for Similarity Join and Search
  Jiannan Wang, Tsinghua University; Guoliang Li, Tsinghua University; Jianhua Feng, Tsinghua University
• InfoGather: Entity Augmentation and Attribute Discovery by Holistic Matching with Web Tables
  Mohamed Yakout, Purdue University; Kris Ganjam, Microsoft Research; Kaushik Chakrabarti, Microsoft Research; Surajit Chaudhuri, Microsoft Research

Research 4: Query Processing and Optimization

Location: Arroyo CDE
Hashtag: #sigmod12 #R4Px
Session Chair: Anish Das Sarma (Google Research)

• Interactive Regret Minimization
  Danupon Nanongkai, University of Vienna; Ashwin Lall, Denison University; Atish Das Sarma, Google Research; Kazuhisa Makino, University of Tokyo
  
• MCJoin: A Memory-Constrained Join for Column-Store Main-Memory Databases
  Steven Keith Begley, La Trobe University; Zhen He, La Trobe University; Yi-Ping Phoebe Chen, La Trobe University
  
• Holistic Optimization by Prefetching Query Results
  Karthik Ramachandra, Indian Institute of Technology Bombay; S. Sudarshan, Indian Institute of Technology Bombay
  

Research 5: Social Networks and Graph Databases I

Location: Vaquero Ballroom A
Hashtag: #sigmod12 #R5Px
Session Chair: Minos Garofalakis (Technical University of Crete)

• Managing Large Dynamic Graphs Efficiently
  Jayanta Mondal, University of Maryland; Amol Deshpande, University of Maryland
• Query Preserving Graph Compression
  Wenfei Fan, University of Edinburgh; Jianzhong Li, Harbin Institute of Technology; Xin Wang, University of Edinburgh; Yinghui Wu, University of Edinburgh and University of California, Santa Barbara
• SCARAB: Scaling Reachability Computation on Large Graphs
  Ruoming Jin, Kent State University; Ning Ruan, Kent State University; Saikat Dey, Kent State University; Jeffrey Xu Yu, The Chinese University of Hong Kong

Research 6: Data Visualization, Error Reporting

Location: Arizona Ballroom V
Hashtag: #sigmod12 #R6Px
Session Chair: Yannis Papakonstantinou (University of California, San Diego)

• Skimmer: Rapid Scrolling of Relational Query Results
  Manish Singh, University of Michigan, Ann Arbor; Arnab Nandi, Ohio State University; H. V. Jagadish, University of Michigan, Ann Arbor
  
• Efficient Spatial Sampling of Large Geographical Tables
  Anish Das Sarma, Google; Hongrae Lee, Google; Hector Gonzalez, Google; Jayant Madhavan, Google; Alon Halevy, Google
  
• Declarative Error Management for Robust Data-Intensive Applications
  Carl-Christian Kanne, Platfora Inc.; Vuk Ercegovac, IBM Almaden Research Center
  

Research 7: Storage Systems, Query Processing and Optimization

Location: Arroyo CDE
Hashtag: #sigmod12 #R7Px
Session Chair: Ioana Manolescu (INRIA)

• bLSM: A General Purpose Log Structured Merge Tree
  Russell Sears, Yahoo! Research; Raghu Ramakrishnan, Yahoo! Research
  
• Skeleton Automata for FPGAs: Reconfiguring without Reconstructing
  Jens Teubner, ETH Zürich; Louis Woods, ETH Zürich; Chongling Nie, ETH Zürich
  
• NoDB: Efficient Query Execution on Raw Data Files
  Ioannis Alagiannis, EPFL; Renata Borovica, EPFL; Miguel Branco, EPFL; Stratos Idreos, CWI; Anastasia Ailamaki, EPFL
  

Research 8: Data Streams and Sensor Networks

Location: Arizona Ballroom I-III
Hashtag: #sigmod12 #R8Px
Session Chair: Henry Korth (Lehigh University)

• High-Performance Complex Event Processing over XML Streams
  Barzan Mozafari, University of California, Los Angeles; Kai Zeng, University of California, Los Angeles; Carlo Zaniolo, University of California, Los Angeles
  
• Prediction-Based Geometric Monitoring over Distributed Data Streams
  Nikos Giatrakos, University of Piraeus; Antonios Deligiannakis, Technical University of Crete; Minos Garofalakis, Technical University of Crete; Izchak Sharfman, Technion; Assaf Schuster, Technion
  
• Online Windowed Subsequence Matching over Probabilistic Sequences
  Zheng Li, University of Massachusetts, Lowell; Tingjian Ge, University of Massachusetts, Lowell
  

Research 9: Mobile Databases

Location: Arizona Ballroom V
Hashtag: #sigmod12 #R9Px
Session Chair: Ryan Johnson (University of Toronto)

• MaskIt: Privately Releasing User Context Streams for Personalized Mobile Applications
  Michaela Goetz, Twitter; Suman Nath, Microsoft Research; Johannes Gehrke, Cornell University
  
• Authenticating Location-Based Services without Compromising Location Privacy
  Haibo Hu, Hong Kong Baptist University; Jianliang Xu, Hong Kong Baptist University; Qian Chen, Hong Kong Baptist University; Ziwei Yang, Hong Kong Baptist University
  
• Effective Caching of Shortest Paths for Location-Based Services
  Jeppe Rishede Thomsen, Hong Kong Polytechnic University; Man Lung Yiu, Hong Kong Polytechnic University; Christian S. Jensen, Aarhus University
  

Research 10: Data Analytics

Location: Vaquero Ballroom E
Hashtag: #sigmod12 #R10Px
Session Chair: Stratos Idreos (CWI)

• Towards a Unified Architecture for in-RDBMS Analytics
  Xixuan Feng, University of Wisconsin-Madison; Arun Kumar, University of Wisconsin-Madison; Benjamin Recht, University of Wisconsin-Madison; Christopher Ré, University of Wisconsin-Madison
  
• Tiresias: The Database Oracle for How-To Queries
  Alexandra Meliou, University of Washington; Dan Suciu, University of Washington
  
• GUPT: Privacy Preserving Data Analysis Made Easy
  Prashanth Mohan, University of California, Berkeley; Abhradeep Thakurta, Pennsylvania State University; Elaine Shi, University of California, Berkeley; Dawn Song, University of California, Berkeley; David Culler, University of California, Berkeley
  

Research 11: Crowdsourcing, Uncertainty in Databases

Location: Arizona Ballroom I-III
Hashtag: #sigmod12 #R11Px
Session Chair: Martin Theobald (Max-Planck Institute for Informatics)

• CrowdScreen: Algorithms for Filtering Data with Humans
  Aditya G. Parameswaran, Stanford University; Héctor García-Molina, Stanford University; Hyunjung Park, Stanford University; Neoklis Polyzotis, University of California, Santa Cruz; Aditya Ramesh, Stanford University; Jennifer Widom, Stanford University
  
• Local Structure and Determinism in Probabilistic Databases
  Theodoros Rekatsinas, University of Maryland; Amol Deshpande, University of Maryland; Lise Getoor, University of Maryland
  
• So Who Won? Dynamic Max Discovery with the Crowd
  Stephen Guo, Stanford University; Aditya G. Parameswaran, Stanford University; Héctor García-Molina, Stanford University
  

Research 12: Top-k Query Processing and Optimization

Location: Arizona Ballroom V
Hashtag: #sigmod12 #R12Px
Session Chair: Vasilis Vassalos (Athens University of Economics and Business)

• Processing a Large Number of Continuous Preference Top-k Queries
  Albert Yu, Duke University; Pankaj K. Agarwal, Duke University; Jun Yang, Duke University
  
• Optimal Top-k Generation of Attribute Combinations Based on Ranked Lists
  Jiaheng Lu, Renmin University of China; Pierre Senellart, Télécom ParisTech; Chunbin Lin, Renmin University of China; Xiaoyong Du, Renmin University of China; Shan Wang, Renmin University of China; Xinxing Chen, Renmin University of China
  
• Top-k Bounded Diversification
  Piero Fraternali, Politecnico di Milano; Davide Martinenghi, Politecnico di Milano; Marco Tagliasacchi, Politecnico di Milano
  

Research 13: Temporal and Graph Databases

Location: Vaquero Ballroom E
Hashtag: #sigmod12 #R13Px
Session Chair: Philip Bohannon (Yahoo! Research)

• Temporal Alignment
  Anton Dignös, University of Zürich; Michael H. Böhlen, University of Zürich; Johann Gamper, Free University of Bozen-Bolzano
  
• A Highway-Centric Labeling Approach for Answering Distance Queries on Large Sparse Graphs
  Ruoming Jin, Kent State University; Ning Ruan, Kent State University; Yang Xiang, Ohio State University; Victor Lee, Kent State University
  
• Efficient Processing of Distance Queries in Large Graphs: A Vertex Cover Approach
  James Cheng, Nanyang Technological University; Yiping Ke, Institute of High Performance Computing, Singapore; Shumo Chu, Nanyang Technological University; Carter Cheng, Nanyang Technological University
  

Research 14: Information Retrieval and Text Mining

Location: Arizona Ballroom I-III
Hashtag: #sigmod12 #R14Px
Session Chair: Jun Yang (Duke University)

• Aggregate Suppression for Enterprise Search Engines
  Mingyang Zhang, George Washington University; Nan Zhang, George Washington University; Gautam Das, University of Texas at Arlington
  
• Probase: A Probabilistic Taxonomy for Text Understanding
  Wentao Wu, University of Wisconsin-Madison; Hongsong Li, Microsoft Research Asia; Haixun Wang, Microsoft Research Asia; Kenny Q. Zhu, Shanghai Jiao Tong University
  
• Optimizing Index for Taxonomy Keyword Search
  Bolin Ding, University of Illinois at Urbana Champaign; Haixun Wang, Microsoft Research Asia; Ruoming Jin, Kent State University; Jiawei Han, University of Illinois at Urbana Champaign; Zhongyuan Wang, Microsoft Research Asia
  

Research 15: Social Networks and Graph Databases II

Location: Arizona Ballroom V
Hashtag: #sigmod12 #R15Px
Session Chair: Wook-Shin Han (Kyungpook National University)

• A Model-Based Approach to Attributed Graph Clustering
  Zhiqiang Xu, Nanyang Technological University; Yiping Ke, Institute of High Performance Computing, Singapore; Yi Wang, National University of Singapore; Hong Cheng, The Chinese University of Hong Kong; James Cheng, Nanyang Technological University
  
• Towards Effective Partition Management for Large Graphs
  Shengqi Yang, University of California, Santa Barbara; Xifeng Yan, University of California, Santa Barbara; Bo Zong, University of California, Santa Barbara; Arijit Khan, University of California, Santa Barbara
  
• TreeSpan: Efficiently Computing Similarity All-Matching
  Gaoping Zhu, University of New South Wales; Xuemin Lin, University of New South Wales; Ke Zhu, University of New South Wales; Wenjie Zhang, University of New South Wales; Jeffrey Xu Yu, The Chinese University of Hong Kong
  

Research 16: Indexing and Physical Database Design II

Location: Arizona Ballroom VI-VIII
Hashtag: #sigmod12 #R16Px
Session Chair: Atish Das Sarma (Google Research)

• Locality-Sensitive Hashing Scheme Based on Dynamic Collision Counting
  Junho Gan, Sun Yat-Sen University; Jianlin Feng, Sun Yat-Sen University; Qiong Fang, Hong Kong University of Science and Technology; Wilfred Ng, Hong Kong University of Science and Technology
  
• Efficient External-Memory Bisimulation on DAGs
  Jelle Hellings, Hasselt University and Transnational University of Limburg; George H. L. Fletcher, Eindhoven University of Technology; Herman Haverkort, Eindhoven University of Technology
  
• Materialized View Selection for XQuery Workloads
  Asterios Katsifodimos, INRIA Saclay and Université Paris-Sud; Ioana Manolescu, INRIA Saclay and Université Paris-Sud; Vasilis Vassalos, Athens University of Economics and Business
  

SIGMOD TUTORIAL SESSIONS

• Tutorial 1: Mob Data Sourcing
  Location: Arizona Ballroom IV
  Hashtag: #sigmod12 #tutorial1
  Presenters: Daniel Deutch, Ben Gurion University; Tova Milo, Tel Aviv University
  
• Tutorial 2: Managing and Mining Large Graphs: Patterns and Algorithms
  Location: Arizona Ballroom IV
  Hashtag: #sigmod12 #tutorial2
  Presenters: Christos Faloutsos, Carnegie Mellon University; U Kang, Carnegie Mellon University
  
• Tutorial 3: Managing and Mining Large Graphs: Systems and Implementations
  Location: Arizona Ballroom IV
  Hashtag: #sigmod12 #tutorial3
  Presenters: Bin Shao, Microsoft Research Asia; Haixun Wang, Microsoft Research Asia; Yanhua Xiao, Fudan University and Microsoft Research Asia
  
• Tutorial 4: Computational Reproducibility: State-of-the-Art, Challenges, and Database Research Opportunities
  Location: Arizona Ballroom IV
  Hashtag: #sigmod12 #tutorial4
  Presenters: Juliana Freire, NYU-Poly; Philippe Bonnet, IT University of Copenhagen; Dennis Shasha, NYU
  
• Tutorial 5: Database Techniques for Linked Data Management
  Location: Arizona Ballroom IV
  Hashtag: #sigmod12 #tutorial5
  Presenters: Andreas Harth, Karlsruhe Institute of Technology (KIT); Katja Hose, Max-Planck Institute for Informatics; Ralf Schenkel, Saarland University
  
• Tutorial 6: Differential Privacy in Data Publication and Analysis (Part 1)
  Location: Arizona Ballroom IV
  Hashtag: #sigmod12 #tutorial6
  Presenters: Yin Yang, Advanced Digital Sciences Center, Singapore; Zhenjie Zhang, Advanced Digital Sciences Center, Singapore; Gerome Miklau, University of Massachusetts, Amherst; Marianne Winslett, University of Illinois at Urbana-Champaign; Xiaokui Xiao, Nanyang Technological University
  
• Tutorial 7: Differential Privacy in Data Publication and Analysis (Part 2)
  Location: Arizona Ballroom IV
  Hashtag: #sigmod12 #tutorial7
  Presenters: Yin Yang, Advanced Digital Sciences Center, Singapore; Zhenjie Zhang, Advanced Digital Sciences Center, Singapore; Gerome Miklau, University of Massachusetts, Amherst; Marianne Winslett, University of Illinois at Urbana-Champaign; Xiaokui Xiao, Nanyang Technological University
  

SIGMOD INDUSTRY SESSIONS

Industry 1: Databases in the Cloud

Location: Arizona Ballroom VI-VIII
Hashtag: #sigmod12 #I1Px
Session Chair: Jayant Madhavan (Google Research)

• Amazon DynamoDB: A Seamlessly Scalable Non-Relational Datastore
  Swami Sivasubramanian, Amazon
  
• Efficient Transaction Processing in SAP HANA Database--The End of a Column Store Myth
  Vishal Sikka, SAP; Franz Färber, SAP; Wolfgang Lehner, TUD/SAP; Sang Kyun Cha, SAP; Thomas Peh, SAP; Christof Bornhövd, SAP
  
• Walnut: A Unified Cloud Object Store
  Jianjun Chen, Yahoo!; Chris Douglas, Yahoo!; Michi Mutsuzaki, Yahoo!; Patrick Quaid, Yahoo!; Raghu Ramakrishnan, Yahoo!; Sriram Rao, Yahoo!; Russell Sears, Yahoo!
  

Industry 2: Social Media and Crowdsourcing

Location: Arizona Ballroom VI-VIII
Hashtag: #sigmod12 #I2Px
Session Chair: Zachary Ives (University of Pennsylvania)

• The Value of Social Media Data in Enterprise Applications
  Shivakumar Vaithyanathan, IBM Almaden Research Center
  
• Anatomy of a Gift Recommendation Engine Powered by Social Media
  Yannis Pavlidis, @WalmartLabs; Madhusudan Mathihalli, @WalmartLabs; Indrani Chakravarty, @WalmartLabs; Arvind Batra, @WalmartLabs; Ron Benson, @WalmartLabs; Ravi Raj, @WalmartLabs; Robert Yau, @WalmartLabs; Mike McKiernan, @WalmartLabs; Venky Harinarayan, @WalmartLabs; Anand Rajaraman, @WalmartLabs
  
• Designing a Scalable Crowdsourcing Platform
  Chris Van Pelt, CrowdFlower; Alex Sorokin, CrowdFlower
  

Industry 3: Modern RDBMSs

Location: Arizona Ballroom VI-VIII
Hashtag: #sigmod12 #I3Px
Session Chair: Rachel Pottinger (University of British Columbia)

• Query Optimization in Microsoft SQL Server PDW
  Srinath Shankar, Microsoft; Rimma Nehme, Microsoft; Josep Aguilar-Saborit, Microsoft; Andrew Chung, Microsoft; Mostafa Elhemali, Microsoft; Alan Halverson, Microsoft; Eric Robinson, Microsoft; Mahadevan Sankara Subramanian, Microsoft; David DeWitt, Microsoft; César Galindo-Legaria, Microsoft
  
• F1-The Fault-Tolerant Distributed RDBMS Supporting Google's Ad Business
  Jeff Shute, Google; Mircea Oancea, Google; Stephan Ellner, Google; Ben Handy, Google; Eric Rollins, Google; Bart Samwel, Google; Radek Vingralek, Google; Chad Whipkey, Google; Xin Chen, Google; Beat Jegerlehner, Google; Kyle Littlefield, Google; Phoenix Tong, Google
  
• Oracle In-Database Hadoop: When MapReduce Meets RDBMS
  Xueyuan Su, Yale University; Garret Swart, Oracle
  

Industry 4: Big Data

Location: Arizona Ballroom VI-VIII
Hashtag: #sigmod12 #I4Px
Session Chair: Cong Yu (Google Research)

• TAO: How Facebook Serves the Social Graph
  Venkateshwaran Venkataramani, Facebook; Zach Amsden, Facebook; Nathan Bronson, Facebook; George Cabrera III, Facebook; Prasad Chakka, Facebook; Peter Dimov, Facebook; Hui Ding, Facebook; Jack Ferris, Facebook; Anthony Giardullo, Facebook; Jeremy Hoon, Facebook; Sachin Kulkarni, Facebook; Nathan Lawrence, Facebook; Mark Marchukov, Facebook; Dmitri Petrov, Facebook; Lovro Puzar, Facebook
  
• Large-Scale Machine Learning at Twitter
  Jimmy Lin, Twitter; Alex Kolcz, Twitter
  
• Recurring Job Optimization in Scope
  Nicolás Bruno, Microsoft; Sameer Agarwal, Microsoft; Srikanth Kandula, Microsoft; Bing Shi, Microsoft; Ming-Chuan Wu, Microsoft; Jingren Zhou, Microsoft
  

Industry 5: Data Integration and Analytics

Location: Arizona Ballroom VI-VIII
Hashtag: #sigmod12 #I5Px
Session Chair: Xin Luna Dong (AT&T Labs-Research)

• Dynamic Workload-Driven Data Integration in Tableau
  Kristi Morton, University of Washington; Ross Bunker, Tableau Software; Jock Mackinlay, Tableau Software; Robert Morton, Tableau Software; Chris Stolte, Tableau Software
  
• Finding Related Tables
  Anish Das Sarma, Google; Lujun Fang, Google; Nitin Gupta, Google; Alon Halevy, Google; Hongrae Lee, Google; Fei Wu, Google; Reynold Xin, Google; Cong Yu, Google
  
• Optimizing Analytic Data Flows for Multiple Execution Engines
  Alkis Simitsis, HP Labs; Kevin Wilkinson, HP Labs; Malu Castellanos, HP Labs; Umeshwar Dayal, HP Labs

Industry 6: Query Processing and War Stories

Location: Arizona Ballroom VI-VIII
Hashtag: #sigmod12 #I6Px
Session Chair: AnHai Doan (University of Wisconsin-Madison and @WalmartLabs)

• CloudRAMSort: Fast and Efficient Large-Scale Distributed RAM Sort on Shared-Nothing Cluster
  Changkyu Kim, Intel Labs; Jongsoo Park, Intel Labs; Nadathur Satish, Intel Labs; Hongrae Lee, Google Research; Pradeep Dubey, Intel Labs; Jatin Chhugani, Intel Labs
  
• Adaptive Optimizations of Recursive Queries in Teradata
  Ahmad Ghazal, Teradata; Dawit Seid, Teradata; Alain Crolotte, Teradata; Mohammed Al-Kateb, Teradata
  
• From X100 to Vectorwise: Opportunities, Challenges and Things Most Researchers Do Not Think About
  Marcin Zukowski, Actian; Peter Boncz, CWI

SIGMOD DEMONSTRATION SESSIONS

SIGMOD Demonstrations, Group A: Information Extraction, Search, Performance, and Clouds

Location: Vaquero Ballroom A
Hashtag: #sigmod12 #demoAx

• Automatic Web-Scale Information Extraction
  Philip Bohannon, Yahoo! Research; Nilesh Dalvi, Yahoo! Research; Yuval Filmus, University of Toronto; Nori Jacoby, Yahoo!; Sathiya Keerthi, Yahoo! Research; Alok Kirpal, Yahoo! Research
• Just-in-Time Information Extraction using Extraction Views
  Amr El-Helw, EMC Corp.; Mina Farid, University of Waterloo; Ihab Ilyas, Qatar Computing Research Institute
• ColumbuScout: Towards Building Local Search Engines over Large Databases
  Cody Hansen, University of Utah; Feifei Li, University of Utah
• Sofia Search: A Tool for Automating Related-Work Search
  Behzad Golshan, Boston University; Theodoros Lappas, Boston University; Evimaria Terzi, Boston University
• RACE: Real-Time Applications over Cloud-Edge
  Badrish Chandramouli, Microsoft Research; Joris Claessens, Microsoft Research; Suman Nath, Microsoft Research; Ivo Santos, Microsoft Research; Wenchao Zhou, University of Pennsylvania
• Partiqle: An Elastic SQL Engine over Key-Value Stores
  Junichi Tatemura, NEC Laboratories America; Oliver Po, NEC Laboratories America; Wang-Pin Hsiung, NEC Laboratories America; Hakan Hacigümüs, NEC Laboratories America
• JustMyFriends: Full SQL, Full Transactional Amenities, and Access Privacy
  Arthur Meacham, New York University; Dennis Shasha, New York University
• Dynamic Optimization of Generalized SQL Queries with Horizontal Aggregations
  Carlos Ordonez, University of Houston; Javier García-García, UNAM; Zhibo Chen, University of Houston
• ConsAD: A Real-Time Consistency Anomalies Detector
  Kamal Zellag, McGill University; Bettina Kemme, McGill University
• Interactive Performance Monitoring of a Composite OLTP and OLAP Workload
  Anja Bog, Hasso Plattner Institute, University of Potsdam; Kai Sachs, SAP AG; Hasso Plattner, Hasso Plattner Institute, University of Potsdam

SIGMOD Demonstrations, Group B: Social- or User-Centered

Location: Vaquero Ballroom A
Hashtag: #sigmod12 #demoBx

• Sindbad: A Location-Based Social Networking System
  Mohamed Sarwat, University of Minnesota; Jie Bao, University of Minnesota; Ahmed Eldawy, University Of Minnesota; Justin Levandoski, Microsoft Research; Amr Magdy, University of Minnesota; Mohamed Mokbel, University of Minnesota
• MAQSA: A System for Social Analytics on News
  Sihem Amer-Yahia, Qatar Computing Research Institute; Samreen Anjum, Qatar Computing Research Institute; Amira Ghenai, Qatar Computing Research Institute; Aysha Siddique, Qatar Computing Research Institute; Sofiane Abbar, Qatar Computing Research Institute; Sam Madden, MIT; Adam Marcus, MIT; Mohammed El-Haddad, Al Jazeera Network
• Surfacing Time-Critical Insights from Social Media
  Bogdan Alexe, IBM Almaden Research Center; Mauricio Hernandez, IBM Almaden Research Center; Kirsten Hildrum, IBM T. J. Watson Research Center; Rajasekar Krishnamurthy, IBM Almaden Research Center; Georgia Koutrika, IBM Almaden Research Center; Meenakshi Nagarajan, IBM Almaden Research Center; Haggai Roitman, IBM Research, Haifa; Michal Shmueli-Scheuer, IBM Research, Haifa; Ioana Stanoi, IBM Almaden Research Center; Chitra Venkatramani, IBM T. J. Watson Research Center; Rohit Wagle, IBM T. J. Watson Research Center
• Taagle: Efficient, Personalized Search in Collaborative Tagging Networks
  Silviu Maniu, Télécom ParisTech, CNRS LTCI; Bogdan Cautis, Télécom ParisTech, CNRS LTCI
• PrefDB: Bringing Preferences Closer to the DBMS
  Anastasios Arvanitis, National Technical University of Athens; Georgia Koutrika, IBM Almaden Research Center
• Auto-Completion Learning for XML
  Serge Abiteboul, Collège de France, INRIA Saclay, ENS Cachan; Yael Amsterdamer, Tel Aviv University; Tova Milo, Tel Aviv University; Pierre Senellart, Télécom ParisTech, CNRS LTCI
• Logos: A System for Translating Queries into Narratives
  Andreas Kokkalis, University of Athens; Panagiotis Vagenas, University of Athens; Alexandros Zervakis, University of Athens; Alkis Simitsis, HP Labs; Georgia Koutrika, IBM Almaden Research Center; Yannis Ioannidis, University of Athens
• PAnG--Finding Patterns in Annotation Graphs
  Philip Anderson, University of Maryland; Andreas Thor, University of Maryland; Joseph Benik, University of Maryland; Louiqa Raschid, University of Maryland; María Esther Vidal, Universidad Simón Bolívar
• VizDeck: Self-Organizing Dashboards for Visual Analytics
  Alicia Key, University of Washington; Bill Howe, University of Washington; Daniel Perry, University of Washington; Cecilia Aragon, University of Washington
• Kaizen: A Semi-Automatic Index Advisor
  Ivo Jimenez, University of California, Santa Cruz; Huascar Sanchez, University of California, Santa Cruz; Quoc Trung Tran, University of California, Santa Cruz; Neoklis Polyzotis, University of California, Santa Cruz

SIGMOD Demonstrations, Group C: Analytics

Location: Vaquero Ballroom A
Hashtag: #sigmod12 #demoCx

• Shark: Fast Data Analysis Using Coarse-Grained Distributed Memory
  Cliff Engle, University of California, Berkeley; Antonio Lupher, University of California, Berkeley; Reynold Xin, University of California, Berkeley; Matei Zaharia, University of California, Berkeley; Michael Franklin, University of California, Berkeley; Scott Shenker, University of California, Berkeley; Ion Stoica, University of California, Berkeley
• Exploiting MapReduce-Based Similarity Joins
  Yasin N. Silva, Arizona State University; Jason M. Reed, Arizona State University
• GLADE: Big Data Analytics Made Easy
  Yu Cheng, University of California, Merced; Chengjie Qin, University of California, Merced; Florin Rusu, University of California, Merced
• ReStore: Reusing Results of MapReduce Jobs in Pig
  Iman Elghandour, University of Waterloo; Ashraf Aboulnaga, University of Waterloo
• Clydesdale: Structured Data Processing on Hadoop
  Andrey Balmin, IBM Almaden Research Center; Tim Kaldewey, IBM Almaden Research Center; Sandeep Tata, IBM Almaden Research Center
• Tiresias: A Demonstration of How-To Queries
  Alexandra Meliou, University of Washington; Yisong Song, University of Washington; Dan Suciu, University of Washington
• AstroShelf: Understanding the Universe Through Scalable Navigation of a Galaxy of Annotations
  Panayiotis Neophytou, University of Pittsburgh; Roxana Gheorghiu, University of Pittsburgh; Rebecca Hachey, University of Pittsburgh; Timothy Luciani, University of Pittsburgh; Di Bao, University of Pittsburgh; Alexandros Labrinidis, University of Pittsburgh; Elisabeta G. Marai, University of Pittsburgh; Panos K. Chrysanthis, University of Pittsburgh
• OPAvion: Mining and Visualization in Large Graphs
  Leman Akoglu, Carnegie Mellon University; Duen Horng Chau, Carnegie Mellon University; U Kang, Carnegie Mellon University; Danai Koutra, Carnegie Mellon University; Christos Faloutsos, Carnegie Mellon University
• CloudAlloc: A Monitoring and Reservation System for Compute Clusters
  Enrico Iori, University of Trento; Alkis Simitsis, HP Labs; Themis Palpanas, University of Trento; Kevin Wilkinson, HP Labs; Stavros Harizopoulos, Nou Data
• TIRAMOLA: Elastic NoSQL Provisioning through a Cloud Management Platform
  Ioannis Konstantinou, National Technical University of Athens; Evangelos Angelou, National Technical University of Athens; Dimitrios Tsoumakos, Ionian University; Christina Boumpouka, National Technical University of Athens; Nectarios Koziris, National Technical University of Athens; Spyros Sioutas, Ionian University

KEYNOTE TALKS AND RESEARCH PLENARY SESSION

Keynote Talks

Keynote 1: Analytic Database Technologies for a New Kind of User - The Data Enthusiast

Pat Hanrahan, Stanford University and Tableau Software
Location: Arizona Ballroom I-VIII
Hashtag: #sigmod12 #keynote1
Session Chair: Luis Gravano (Columbia University)

Keynote 2: Symbiosis in Scale Out Networking and Data Management

Amin Vahdat, University of California, San Diego and Google
Location: Arizona Ballroom I-VIII
Hashtag: #sigmod12 #keynote2
Session Chair: Surajit Chaudhuri (Microsoft Research)

Plenary Session

Perspectives on Big Data

Location: Arizona Ballroom IV-VIII
Hashtag: #sigmod12 #bigdata
Presenters: Donald Kossmann (ETHZ), Kristen LeFevre (Google Research and University of Michigan), Sam Madden (MIT), Anand Rajaraman (@WalmartLabs)
Session Chair: Surajit Chaudhuri (Microsoft Research)

SIGMOD POSTER SESSIONS

• Plenary Poster Session 1: PODS/SIGMOD Research Plenary Poster Session
  Location: Vaquero Ballroom B-C
  Hashtag: #sigmod12 #pods12 #rp1
  Papers from all PODS Sessions and from SIGMOD Sessions Research 1 to 7
• Plenary Poster Session 2: Poster Session for Workshop Papers
  Location: Vaquero Ballroom B-C
  Hashtag: #sigmod12 #rp2
  Poster Session for Workshop Papers
• Plenary Poster Session 3: SIGMOD Research Plenary Poster Session
  Location: Vaquero Ballroom B-C
  Hashtag: #sigmod12 #rp3
  Papers from SIGMOD Sessions Research 8 to 16

SIGMOD UNDERGRADUATE RESEARCH POSTER COMPETITION

Location: Terrace Court (in parallel with SIGMOD Reception)
Hashtag: #sigmod12 #urpc

• Declarative Web Application Development: Encapsulating Dynamic JavaScript Widgets
  Robert Bolton, University of California, San Diego; David Ing, University of California, San Diego; Christopher Rebert, University of California, San Diego; Kristina Lam Thai, University of California, San Diego
  
• Towards Scalable Summarization and Visualization of Large Text Corpora
  Tyler Sliwkanich, University of Alberta; Douglas Schneider, University of Alberta; Aaron Yong, University of Alberta; Mitchell Home, University of Alberta; Denilson Barbosa, University of Alberta
  
• Reducing Cache Misses in Hash Join Probing Phase By Pre-Sorting Strategy
  Gi-Hwan Oh, SungKyunKwan University; Jae-Myung Kim, SungKyunKwan University; Woon-Hak Kang, SungKyunKwan University; Sang-Won Lee, SungKyunKwan University
  
• DP-tree: Indexing Multi-Dimensional Data under Differential Privacy
  Shangfu Peng, Shanghai Jiao Tong University; Yin Yang, Advanced Digital Sciences Center; Zhenjie Zhang, Advanced Digital Sciences Center; Marianne Winslett, Advanced Digital Sciences Center; Yong Yu, Shanghai Jiao Tong University
  
• Temporal Provenance Discovery in Micro-Blog Message Streams
  Zijun Xue, Peking University; Junjie Yao, Peking University; Bin Cui, Peking University
  
• SigSpot: Mining Significant Anomalous Regions from Time-Evolving Networks
  Misael Mongiovì, University of California, Santa Barbara; Petko Bogdanov, University of California, Santa Barbara; Razvan Ranca, University of California, Santa Barbara; Ambuj K. Singh, University of California, Santa Barbara; Evangelos E. Papalexakis, Carnegie Mellon University; Christos Faloutsos, Carnegie Mellon University
  
• VRRC: Web Based Tool for Visualization and Recommendation on Co-Authorship Network
  Eduardo M. Barbosa, UFMG; Mirella M. Moro, UFMG; Giseli Rabello Lopes, UFRGS; J. Palazzo M. de Oliveira, UFRGS
  
• Fast Sampling Word Correlations of High Dimensional Text Data
  Frank Rosner, Martin-Luther-University Halle-Wittenberg; Alexander Hinneburg, Martin-Luther-University Halle-Wittenberg; Martin Gleditzsch, Unister GmbH; Mathias Priebe, Unister GmbH; Andreas Both, Unister GmbH
  

SIGMOD NEW RESEARCHER SYMPOSIUM

Theme: How to be a good advisor/advisee?
Location: Arizona Ballroom I-IV
Hashtag: #sigmod12 #nrs
Session Chairs: Xin Luna Dong (AT&T Labs-Research); Christopher Ré (University of Wisconsin-Madison)

• Session 1: Magdalena Balazinska (University of Washington); Yi Chen (Arizona State University); Anish Das Sarma (Google Research); Lukasz Golab (University of Waterloo)
  
• Session 2: Sihem Amer-Yahia (QCRI); Christian S. Jensen (Aarhus University); Henry Korth (Lehigh University); M. Tamer Özsu (University of Waterloo)