(論文募集) UnCrowd 2014: DASFAA Workshop on Uncertain and Crowdsourced Data

[Atsuyuki Morishima <mori [at] slis.tsukuba.ac.jp>]

日本データベース学会の皆様

筑波大の森嶋です． DASFAA2014でのクラウドソーシングワークショップUnCrowdの
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UnCrowd 2014: DASFAA Workshop on Uncertain and Crowdsourced Data
http://dbweb.enst.fr/events/uncrowd2014/
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Crowdsourcing systems, such as Amazon Mechanical Turk and CrowdFlower,
utilize human power to perform difficult tasks, such as entity
resolution, search, filtering, image matching, or clustering. The
important issues of collecting and managing the large volume of data in
these applications have attracted plenty of attention from the database
community. Typically, data obtained from crowdsourcing platforms are to
be considered as uncertain, because of various levels of quality obtained
by crowd workers.

Uncertain data management has also received considerable attention in the
data management community. Models, algorithms, systems, for fuzzy
databases, probabilistic databases, or reasoning under incompleteness,
have been proposed and numerous applications, from information
integration to information extraction and data cleaning, have been
identified. The objective of this workshop is to explore the connection
between uncertain data management and crowdsourcing. How can the crowd
reduce uncertainty in data obtained from automatic processes, such as
schema matching or machine learning? How can uncertain data management
techniques be applied to the modeling of the crowd?

In addition to submissions accepted for publication (see below), the
workshop will feature a keynote talk by Lei Chen (Hong Kong University of
Science and Technology).

Topics
------

The topics of interest of the workshop include, but are not limited to:

- Cleaning data obtained from crowdsourcing
- Crowdsourcing systems and models
- Curation of uncertain and incomplete data
- Evaluation of crowd workers
- Information integration using the crowd
- Probabilistic modeling of the crowd
- Provenance of data
- Quality of crowdsourced data
- Querying and updating uncertain data
- Resolving uncertainty in data using the crowd
- Truth detection
- Uncertain data management applications
- Uncertain data models: fuzzy databases, probabilistic databases, Dempster-Shafer theory...
- Uncertainty in crowdsourced data
- Uncertainty in data generated by automatic processes

Note in particular that it is not required for a submission to the
workshop to cover both the crowdsourcing and uncertainty aspects, though
such submissions are particularly welcome; one of the goals of the
workshop is to start discussions between researchers across these areas.

Important Dates
---------------

Papers due:
    Friday, 31 January, 2014
Notification of Acceptance
    Friday, 7 March, 2014
Camera-ready due:
    Friday, 28 March, 2014
Workshop date:
    Monday, 21 April 2014

All deadlines are 23:59 anywhere on Earth that day, i.e., 23:59
UTC-12:00.

Submission instructions
-----------------------

The workshop will consider papers presenting new or promising results
revolving around the topics listed in the call for papers. Papers should
respect the LNCS format, and should not exceed 15 pages. Shorter
submissions are possible and even encouraged, should the authors want to
present more prospective works.

The submissions must not be prevously published or considered for
publication in other venues. All submissions will be reviewed by at least
three reviewers, and will be handled electronically.
Submission

Papers must be submitted electronically in PDF format at
https://www.easychair.org/conferences/?conf=uncrowd2014.

All papers accepted by DASFAA 2014 workshops will be published in a
combined volume of the Lecture Notes in Computer Science series published
by Springer (pending for approval).

Student grants
--------------

Thanks to the funding of the French Ministry of Foreign Affairs, under
the CCIPX project, DBCrowd will provide grants to support participation
of students. Details will be posted by the end of 2013.

Organization
------------

Program chair
    Pierre Senellart, Telecom ParisTech, France

Program committee
    Talel Abdessalem, Telecom ParisTech, France
    Yael Amsterdamer, Tel Aviv University, Israel
    Zhifeng Bao, National University of Singapore, Singapore
    Bogdan Cautis, University Paris-Sud, France
    Reynold Cheng, Hong Kong University, Hong Kong
    Valter Crescenzi, Roma Tre University, Italy
    Jiaheng Lu, Renmin University of China, China
    Zongmin Ma, Northeastern University, China
    Silviu Maniu, Hong Kong University, Hong Kong
    Paolo Merialdo, Roma Tre University, Italy
    Atsuyuki Morishima, University of Tsukuba, Japan
    Wilfred Ng, Hong Kong University of Science and Technology, Hong Kong
    Tuyet Trinh Vu, Hanoi University of Science and Technology, Vietnam
    Huayu Wu, A*STAR, Singapore

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