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Call for Papers
The Third Workshop on Transforming Big Data into Actionable Knowledge (BiDAW21)

Workshop Website:	https://tinyurl.com/BiDAW2021
Submission link:	https://easychair.org/conferences/?conf=bidaw21
Publication in:	WWW21 Proceedings by ACM
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Today the world is being changed and revolutionized very fast by the integration of new technologies. In particular, digitalization, big data, and next-generation Artificial Intelligence (AI) impact our life and business processes significantly. In this regard, the World Wide Web (WWW) plays a key role. The operational environment, and all the digital services on the web, should actionably respond to these changes and result in actionable insights for the support of decision-making actions in various domains. Industrial integration of technologies that cause such actionable changes includes knowledge graphs, explainable AI, HCAI, deep learning, adversarial networks, and reinforcement learning. The 3rd BiDAW workshop aims at bringing together professionals and researchers from the semantic web, WWW, artificial intelligence, databases and further related areas. This is aimed to result in discussions about research and experiences in realisation of concepts, techniques, and applications towards actionable knowledge. In this regard, we believe that the BiDAW workshop will provide a productive and promising brainstorming environment to business leaders and academics towards transforming both big data and the next generation AI into actionable knowledge.

Goal:
The main BiDAW will be run as an interactive workshop, where key panelists and attendees will discuss research and business roadmaps in the fields of interest. The 3rd BiDAW workshop is being supported and sponsored by the BRIDGE-US project (Big Data and Artificial Intelligence Made in Germany inspiring the US) as a part of the German Research marketing campaign through the German Federal Ministry of Education and Research. Furthermore, this workshop is sponsored by the Association for Artificial Intelligence in Science and Industry (AAISI).

In line with the WWW21 standards, we aim at building up a bridge between research results and industrial applications. Invited experts will present their research and business achievements on new technologies in the field of actionable knowledge; they will also show what expertise and knowledge are required from university graduates on successful career development in the topics of interest. Additionally, invited experts from the actionable knowledge networks will provide an insight and roadmap to the field; the workshop will target key decision makers from universities, research centers, professional associations, funding organizations, and companies.

Topics of Interest:
The main topics the BiDAW21 Workshop include, but not limited to:
- Actionable Knowledge
- Big Data Technologies towards Actionable Insights
- Domain-Driven Data Mining
- Next-Generation AI
- Deep Learning
- Knowledge Graphs
- Semantic Technologies in Knowledge Discovery
- Domain-specific Decision-Making Solutions

Best Paper Award:
Based on the results from review comments, TPC meeting after the notifications, and well-designed award criteria, we will select Two papers to receive the Best Paper award: one research paper from academia and another industry paper from Industry. The nomination of the best paper award will be during the workshop. Our best paper award is entitled "Best Innovation Award" and will be jointly certified by the Bridge-US project and Association for Artificial Intelligence in Science and Industry.

Paper Submission:
All submissions should be in English and PDF format. Authors are requested to use the style of the WWW21 format. For details on the WWW21 style, please check the official website from WWW21 (https://www2021.thewebconf.org). BiDAW accepts articles of the following formats:

- Full research papers (8-12 pages)
- Short research papers (4-6 pages)
- Position papers (6-8 pages)
- Resource papers (8-12 pages)
- In-Use papers (6-8 pages)
- Industrial papers (Max 6 pages)

All papers should be submitted through the Easychair system using the following link:
https://easychair.org/conferences/?conf=bidaw21


Workshop Proceedings:
We will send all accepted papers to the WWW21 proceedings by the ACM.

Important Dates:
- Paper submission: February 08, 2021
- Notification of acceptance: February 21, 2021
- Camera-ready and early registration: March 1, 2021
- Workshop: April 19/20, 2021 

General Chairs:
- Maria-Esther Vidal, TIB-Leibniz Information Centre for Science and Technology and L3S research center, Leibnitz University (Hannover, Germany)
- Mahdi Bohlouli, Research and Innovation Department, Petanux GmbH (Bonn, Germany) and Institute for Advanced Studies in Basic Sciences (Zanjan, Iran)

Local Organizing Committee:
- Ali Behravan, University of Siegen, Germany
- Gabriela Ydler, TIB-Leibniz Information Centre for Science, L3S research center, Germany

Technical Program Committee Members:
- Maribel Acosta (Ruhr University Bochum, Germany)
- Soeren Auer (TIB-Leibniz Information Centre for Science and Technology and L3S Research Centre, Leibniz University of Hannover, Germany)
- David Chaves (Universidad Politecnica de Madrid, Spain)
- Diego Collarana (Fraunhofer IAIS, Germany)
- Oscar Corcho (Universidad Politecnica de Madrid, Spain)
- Shahi Dost (TIB-Leibniz Information Centre for Science and Technology and L3S Research Centre, Leibniz University of Hannover, Germany)
- Shahram Dustdar (Technical University of Vienna, Austria)
- Kemele Endris (L3S Research Centre, Leibniz University of Hannover, Germany)
- Irlan Grangel (Bosch Corporate Research, Germany)
- Bahman Javadi (University of Western Sydney, Australia)
- Eirini Ntoutsi (L3S Research Centre, Leibniz University of Hannover, Germany)
- Freddy Proyatna (Olive AI, USA)
- Philipp Rohde (TIB-Leibniz Information Centre for Science and Technology and L3S Research Centre, Leibniz University of Hannover, Germany)
- Ahmad Sakor (L3S Research Centre, Leibniz University of Hannover, Germany)
- Mohammad Shokoohi Yekta (Microsoft, USA)
- Kuldeep Singh (Cerence GmbH, Aachen, Germany)
- Xiaojun Zeng (University of Manchester, UK)

Contact:
For further questions about submissions or any other issue related to the workshop, please send an email to bidaw21@bridgeus.de