VLDB 2021: Call for Contributions - Demonstrations

VLDB 2021 invites submissions for software demonstration proposals on any topic of interest, broadly defined, to the data management community. Software demonstrations are accompanied by short papers which will appear in the PVLDB proceedings upon acceptance. One of the demonstrations presented at the conference will be selected to receive the VLDB 2021 Best Demo Award.

Important Dates (Note: Extended deadline)

All deadlines below are 5 PM Pacific Time.

Proposal submission deadline (Extended) March 12, 2021 March 19, 2021
Notification of acceptance (Extended) May 7, 2021 May 14, 2021
Camera-ready copy due (Extended) June 11, 2021 June 18, 2021

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 and limited to 4 pages, inclusive of ALL material. Formatting guidelines and document templates are available at http://vldb.org/pvldb/vol14-formatting/.

Video Submissions

Since VLDB 2021 will be held in a hybrid format (attendees will be present in Copenhagen but will also be able to participate online only), we require all accepted demonstrations to be accompanied by a video (of up to 5 minutes, 100 MB max. file size). We would like to encourage authors to already submit a (draft) video with their first CMT submission. Both the demonstration proposal and the video will then be accessible by the reviewers. 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/MP4 format and be playable by the common media players.

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).

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:

Submissions with undeclared conflicts or spurious conflicts will be desk rejected. There will be NO exceptions to this rule.

Demo Submission

Demonstration proposals must be submitted electronically, in PDF format, using CMT. When creating a new paper submission, you will be given the option to choose a track. Choose the "Demo" track for your demo proposal. Once you have submitted your paper, you can add your video submission file in a second step. You will find the VLDB 2021 CMT submission site at https://cmt3.research.microsoft.com/PVLDBv14_2021

Demo Track Chairs

Please do not hesitate to approach the co-chairs with questions regarding the VLDB 2021 Demo Track. We are looking forward to your submissions.

Torsten Grust, University of Tuebingen, Germany
Guoliang Li, Tsinghua University, China
Yuanyuan Tian, IBM Research Almaden, USA

Demo Track PC Members

Alvin Cheung, University of California, Berkeley, USA
Anna Fariha, University of Massachusetts Amherst, USA
Anja Gruenheid, Google Inc., USA
Avrilia Floratou, Microsoft, USA
Chengliang Chai, Tsinghua University, China
Da Yan, University of Alabama at Birmingham, USA
Dong Xie, Penn State University, USA
Evangelia Sitaridi, Amazon Web Services, USA
Felix Schuhknecht, Johannes Gutenberg-University Mainz, Germany
Gao Cong, Nanyang Technological Univesity, Singapore
George Fletcher, Eindhoven University of Technology, Netherlands
Hongzhi Wang, Harbin Institute of Technology, China
Hua Lu, Roskilde University, Denmark
Ingo Müller, ETH Zürich, Switzerland
Jana Giceva, TU Munich, Germany
Jia Yu, Washington State University, Germany
Jianguo Wang, Purdue University, USA
Jiannan Wang, Simon Fraser University, Canada
Ju Fan, Renmin University of China, China
Kai Zeng, Alibaba Group, China
Khuzaima Daudjee, University of Waterloo, Canada
Knut Stolze, IBM, Germany
Laure Berti-Equille, IRD, France
Lei Cao, MIT, USA
Lukas Rupprecht, IBM Research - Almaden, USA
Manuel Rigger, ETH Zurich, Switzerland
Mark Raasveldt, CWI, Netherlands
Michael Gubanov, Florida State University, USA
Ning Wang, Beijing Jiaotong University, China
Qun Chen, Northwestern Polytechnical University, China
Shuai Ma, Beihang University, China
Silu Huang, Microsoft, USA
Tarique Siddiqui, Microsoft Research, USA
Umar Farooq Minhas, Microsoft Research, USA
Vasilis Efthymiou, IBM Research - Almaden, USA
Wenjie Zhang, University of New South Wales, Australia
Wenlei Xie, Facebook, USA
Xiao Qin, IBM Research, USA
Xiaokui Xiao, National University of Singapore, Singapore
Yeye He, Microsoft Research, USA
Yingjun Wu, Amazon Web Services, USA
Yongxin Tong, Beihang University, China
Zhifeng Bao, RMIT University, Australia