VLDB 2018 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.
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.
We specifically encourage the submission of a demonstration video (of up to 5 minutes, 30MB max. file size) together with your demonstration proposal via CMT. 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 format and be playable by the common media players.
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.
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).
Demonstration proposals must be submitted electronically, in PDF format, using the Conference Management Tool for VLDB 2018. 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.
Ming Hua (Facebook) Vanessa Braganholo (Fluminense Federal University, Brazil)
Albert Weichselbraun, University of Applied Sciences Chur, Switzerland Ashish Sureka, Ashoka University, India Bertram Ludaescher, UC Davis, USA Bin Jiang, UBER, USA Bingsheng He, National University of Singapore, Singapore Boris Glavic, IIT Chicago, USA Carmem Hara, Universidade Federal do Paraná, Brazil Christos H. Makris, University of Patras, Greece Daniel de Oliveira, Universidade Federal Fluminense, Brazil Daning Hu, University of Zurich, Switzerland Dmitri V. Kalashnikov, AT&T Labs Research, USA Eduardo Ogasawara, CEFET-RJ, Brazil Eli Cortez, Microsoft, USA Eric Lo, Chinese University of Hong Kong, Hong Kong Fei Chiang, McMaster University, Canada Felix Martin Schuhknecht, Saarland University, Germany Flavius Frasincar, Erasmus University Rotterdam, Netherlands Flip Korn, Google, USA Georgia Koutrika, Athena Research Center, Greece Gerome Miklau, UMass Amherst, USA Guoliang Li, Tsinghua University, China Harald Kosch, University Passau, Germany Huy Vo, City College of New York, USA Jason Jung, Chung-Ang University, South Korea Jiannan Wang, Simon Fraser University, Canada Jitao Sang, Beijing Jiaotong University, China João Eduardo Ferreira, USP, Brazil Johann Gamper, Free University of Bozen-Bolzano, Italy Jorge Quiane Ruiz, Qatar Computing Research Institute, Qatar Katja Hose, Aalborg University, Denmark Kyriakos Mouratidis, Singapore Management University, Singapore Leon Zhao, City University of Hong Kong, China Leong Hou U, University of Macau, Macau Luciano Barbosa, Universidade Federal de Pernambuco, Brazil Maya Ramanath, IIT Delhi, India Medha Atre, Indian Institute of Technology, Kanpur, India Michael Fire, University of Washington, USA Mirella Moro, Universidade Federal de Minas Gerais, Brazil Paolo Merialdo, Università Roma Tre, Italy Paolo Missier, Newcastle University, United Kingdom Paulo Cortez, University of Minho, Portugal Rachel Pottinger, University of British Columbia, Canada Ricardo Torres, UNICAMP, Brazil Sai Wu, Zhejiang University, China Sairam Gurajada, IBM Research, Almaden, USA Shuai Ma, Beihang University, China Srikanta Bedathur, IBM India Research Lab, India Sudipto Das, Microsoft Research, USA Thomas Heinis, Imperial College, United Kingdom Valéria Times, Universidade Federal de Pernambuco, Brazil Verena Kantere, National Technical University of Athens, Greece Wenchao Zhou, Georgetown University, USA Xiao Wu, Southewst Jiaotong University, China Xiaochun Yang, Northeastern University, China Xike Xie, University of Science and Technology of China, China Yanif Ahmad, Johns Hopkins University, USA Yannis Katsis, UC San Diego, USA Yannis Papakonstantinou, UC San Diego, USA Yi Chen, New Jersey Institute of Technology, USA Zakaria Maamar, Zayed University, United Arab Emirates Zeke Wang, ETH Zurich, Switzerland