DBCrowd 2013
  First VLDB Workshop on Databases and Crowdsourcing


Reynold Cheng      Anish Das Sarma        Silviu Maniu
                   Pierre Senellart

      Riva Del Garda, Trento, August 26, 2013




   http://dbweb.enst.fr/events/dbcrowd2013/
          DBCrowd 2013: First VLDB Workshop on Databases and Crowdsourcing




Contents

Organization                                                                            3


I.   Invited Keynotes                                                                   4

Multi-Platform, Reactive Crowdsourcing. Stefano Ceri                                    5

Mining the Crowd. Tova Milo                                                             6


II. Research Papers                                                                     7

Wrapper Generation Supervised by a Noisy Crowd. Valter Crescenzi, Paolo Merialdo and
  Disheng Qiu                                                                           8

Crowdsourcing to Mobile Users: A Study of the Role of Platforms and Tasks. Vincenzo
   Della Mea, Eddy Maddalena and Stefano Mizzaro                                    14

Condition-Task-Store: A Declarative Abstraction for Microtask-based Complex Crowd-
  sourcing. Kenji Gonnokami, Atsuyuki Morishima and Hiroyuki Kitagawa              20

The Palm-tree Index: Indexing with the crowd. Ahmed Mahmood, Walid Aref, Eduard
  Dragut and Saleh Basalamah                                                    26

Crowdsourcing Feedback for PayAsYouGo Data Integration. Fernando Osorno-Gutierrez,
   Norman Paton and Alvaro A. A. Fernandes                                         32


III. Vision Papers                                                                     38

Crowds, not Drones: Modeling Human Factors in Interactive Crowdsourcing. Senjuti
   Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia
   and Gautam Das                                                                39

Cost and Quality Trade-Offs in Crowdsourcing. Anja Gruenheid and Donald Kossmann       43

Data In Context: Aiding News Consumers while Taming Dataspaces. Eugene Wu, Adam
  Marcus and Sam Madden                                                         47




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           DBCrowd 2013: First VLDB Workshop on Databases and Crowdsourcing




Organization
Co-Chairs
Reynold Cheng                    The University of Hong Kong, Hong Kong
Anish Das Sarma                  Google, USA
Pierre Senellart                 Télécom ParisTech, France

Vice-Chair
Silviu Maniu                     The University of Hong Kong, Hong Kong


Program Committee Members
Sihem Amer-Yahia                 CNRS, France
T.-H. Hubert Chan                The University of Hong Kong, Hong Kong
Michael Chau                     The University of Hong Kong, Hong Kong
Lei Chen                         Hong Kong University of Science and Technology, Hong Kong
Jiefeng Cheng                    Shenzhen Institutes of Advanced Technology, China
Susan Davidson                   University of Pennsylvania, USA
Michael J. Franklin              U.C. Berkeley, USA
Ada Waichee Fu                   Chinese University of Hong Kong, Hong Kong
Donald Kossmann                  ETH Zürich, Switzerland
Tim Kraska                       Brown University, USA
Guoliang Li                      Tsinghua University, China
Eric Lo                          The Hong Kong Polytechnic University
Samuel Madden                    MIT, USA
Amélie Marian                   Rutgers University, USA
Atsuyuki Morishima               University of Tsukuba, Japan
Zaiqing Nie                      Microsoft Research Asia, China
Jian Pei                         Simon Fraser University, Canada
Mauro Sozio                      Télécom Paristech, France
Martin Theobald                  University of Antwerp, Belgium

External Reviewers
Jia Wang                         Chinese University of Hong Kong, Hong Kong
Ben Ng                           The University of Hong Kong, Hong Kong

Logo Design
Siyu Ray Lei                     The University of Hong Kong, Hong Kong




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