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VLDB Demos 2017 : Call for Demos: VLDB 2017 Demonstrations Track

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Link: http://www.vldb.org/2017/cfp_demos.php
 
When Aug 28, 2017 - Sep 1, 2017
Where Munich, Technical University
Submission Deadline Mar 1, 2017
Notification Due May 3, 2017
Final Version Due May 31, 2017
Categories    VLDB 2017   demonstrations
 

Call For Papers

Call for Demonstrations

Important Dates

Proposal Submission Deadline: March 1, 2017 (5pm Pacific Time)
Notification of Acceptance: May 3, 2017
Camera Ready Copy Due: May 31, 2017


Topics of Interest

VLDB 2017 invites submissions for demo proposals on any topic of interest, broadly defined, to the data management community. Accepted demonstration papers will appear in the PVLDB proceedings.


Demo Proposals

The proposal must describe the demonstrated system and state the novelty and significance of the contribution to data management research, technologies, and/or its applications. The proposal should pay special attention to describing the exact demonstration scenarios for the given system. This should include how the audience will experience the demo, what kind of functionality is supported, user scenarios, interface and interaction options, etc. Proposals must be submitted in camera-ready format using the PVLDB formatting instructions, and are limited to 4 pages, inclusive of ALL material.


Video Submissions

For the VLDB 2017 demonstration program, we specifically encourage the submission of a demonstration video (of up to 5 minutes) that accompanies your demonstration proposal and will be accessible by the reviewers via CMT. Your video should summarize your demonstration and also audio-visually highlight its most important aspects, such as the user interface, options for user interactions, the system setup, etc. The video should be submitted in MPEG/AVI format and be playable by the common media players.


Conflicts

To minimize biases in the evaluation process, we use CMT's conflict management system, through which authors should flag conflicts with the Demo Program Committee members. All authors of a submission must declare conflicts on CMT prior to the submission deadline.

You have a conflict with X:

If you and X have worked in the same university or company in the past two years, or will be doing so in the next six months on account of an accepted job offer. Different campuses do not count as the same university for this purpose -- UC Berkeley does not have a conflict with UC Santa Barbara.
If you and X have collaborated recently, as evidenced in a joint publication or jointly organized event in the past two years, or are collaborating now.
If you are the PhD thesis advisor of X or vice versa, irrespective of how long ago this was.
If X is a relative or close personal friend.
Submissions with undeclared conflicts or spurious conflicts will be DESK REJECTED. There will be NO exceptions to this rule.


Originality and Duplicate Submissions

Note that demonstration proposals must not have been published, or be under consideration for publication, at any other forum. Demonstration proposals should specifically focus on the genuine aspects of the described systems and the intended interaction with the audience; they should not be a short version of an existing conference paper (whether or not this may have been published elsewhere).


Demo Submission

Demonstration proposals must be submitted electronically, in PDF format, using the Conference Management Tool for VLDB 2017. When creating a new paper submission, you will be given the option to choose a track. Choose the "Demonstrations" track for your demo proposal. A respective option to upload the demonstration video will be made available.


Demo Track Chairs

Bingsheng He (National University of Singapore)
Martin Theobald (University of Luxembourg)
Reynold Xin (Databricks)


Demo Track PC Members

Alekh Jindal (Microsoft)
Alkis Simitsis (HP Labs)
Avery Ching (Facebook)
Carsten Binnig (Brown University)
Dahlmeier Daniel (SAP)
Danica Porobic (Oracle Labs)
Donald Kossmann (ETH Zurich)
Emmanuel Müller (Hasso Plattner Institute)
Eric Lo (Hong Kong Polytechnic University)
Eugene Wu (Columbia University)
Fatma Ozcan (IBM Research)
Fei Chiang (McMaster University)
Felix Martin Schuhknecht (Saarland University)
Fred Reiss (IBM)
Guoliang Li (Tsinghua University)
Jiannan Wang (UC Berkeley)
Johann Gamper (Free University of Bozen-Bolzano, Italy)
Jorge Quiane Ruiz (QCRI)
Joseph Gonzales (UC Berkeley)
Justin Levandoski (Microsoft Research)
Kai Zeng (Microsoft Research)
Katja Hose (Aalborg University)
Kyriakos Mouratidis (Singapore Management University)
Leong Hou U (University of Macau)
Liwen Sun (UC Berkeley)
Matei Zaharia (Stanford University)
Michael Cafarella (University of Michigan)
Michael Armbrust (Databricks)
Paolo Papotti (ASU)
Rainer Gemulla (University of Mannheim)
Ralf Schenkel (University of Trier)
Rubao Li (Ohio State University)
Rui Zhang (University of Delaware)
Sai Wu (Zhejiang University)
Sairam Gurajada (Max Planck Institute Informatics)
Shivaram Venkataraman (UC Berkeley)
Shuai Ma (Beihang University)
Srikanta Bedathur (IBM India Research Lab)
Wolfgang Gatterbauer (Carnegie Mellon University)
Xiaodong Zhang (Ohio State University)
Xike Xie (USTC)
Xin Huang (Hong Kong Baptist University)
Yannis Velegrakis (University of Trento)
Yin Huai (Databricks)
Yingyi Bu (Couchbase Inc.)
You Wu (Google Research)
Zeke Wang (National University of Singapore)
Zhe Chen (University of Michigan)

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