Big Data and Artificial Intelligence (AI) mutually support each other: AI-powered algorithms empower data scientists to analyze Big Data and thereby exploit its full potential whereas Big Data enables Machine Learning (ML) specialists to comfortably design, validate and deploy AI models. This workshop's objective is to examine the importance and necessity of a third, a more straightforward  relationship of Big Data and AI: AI supporting all user stereotypes and organizations involved in Big Data Analysis on their exploration journey from raw input data to insight and effectuation as modeled in Bornschlegl's IVIS4BigData. Although there exist valid challenges (e.g. shortage of highly skilled Big Data Analysis experts, lack of individualization and context-awareness in Advanced Visual User Interfaces, few automated Big Data Analysis workflows), only little research is conducted focusing on this third relationship.

This workshop targets to change that. In this way, the overall scope and goal of the workshop is to bring together researchers active in these areas to achieve a road map, which can support the acceleration in research activities by means of transforming, enriching, and deploying AI models and algorithms as well as intelligent advanced visual user interfaces supporting creation, configuration, management and usage of distributed Big Data Analysis.

This workshop will take place as a half-day workshop at AVI2020 on Ischia Island (Naples).

Submission Guidelines

Paper Submission

We invite contributions from researchers and practitioners working in the area of Big Data Visualization. Interested attendees should submit a short position paper (about 2500 words, Abstract 150 words) structured into sections that will be made available upon acceptance. Based on the review of the position papers about 6 to 10 participants will be invited to attend the workshop.

Online submission is required via EasyChair or via e-mail to thoralf.reis[at]fernuni-hagen.de. All submission must be formatted according to the ACM SIGCHI format. Papers should be submitted in PDF format.

Please note that workshop attendants will be able to register either for the workshop day only or for the full event (workshop + conference). At least one author of an accepted workshop paper must register for the workshop at AVI 2020 conference.

Publications

Workshop papers will initially not be published in the AVI proceedings, but revised papers are planned to be published as a post-proceeding (preferably within the Springer Lecture Notes in Computer Science [LNCS] Series [www.springer.com/lncs]). The initial main outcome will be a common research agenda, which will be a good starting point for possible proposals of joint research activities. Another initial outcome could be an article in an international journal describing the common research road map.

Dates

•  Submission Deadline: March 23
•  Notification to Authors: April 13
•  Registration Deadline: April 20
•  Paper Camera ready due: April 27
•  Workshop: June 9

Committees

Program Committee

Will be released soon.

Organizing committee

• Thoralf Reis, University of Hagen, Germany, thoralf.reis[at]fernuni-hagen.de
• Dr.-Ing. Marco X. Bornschlegl, University of Hagen, Germany, marco-xaver.bornschlegl[at]fernuni-hagen.de
• Prof. Dr.-Ing. Matthias L. Hemmje, University of Hagen, Germany, matthias.hemmje[at]fernuni-hagen.de

Contact

All questions about submissions should be emailed to thoralf.reis[at]fernuni-hagen.de.