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3rd BiDAW 2021 co-located with Web Conference 2021

Big Data and Artificial Intelligence Made in Germany inspiring the US

3rd International Workshop on Transforming Big  Data into  Actionable Knowledge (BiDAW)

                     co-located with WWW 2021

April 16, 2021, VIRTUAL


Today the world is being changed and revolutionized very fast by the integration of new technologies. Mainly digitalization and in particular, big data and next-generation Artificial Intelligence (AI), are impacting our lives as well as business processes. In this regard, the World Wide Web (WWW) plays a key role. The operational environment as well as 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 and conversational AI, human-centered AI, as well as deep learning, adversarial networks, and reinforcement learning. The 3rd BiDAW workshop aims at bringing together practitioners and researchers from the areas of the semantic web, WWW, artificial intelligence, and databases, to discuss research issues and experiences in developing and deploying concepts, techniques, and applications that address various issues related to big data and 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. 

Themes and goals of the BiDAW

BiDAW will be run as an interactive workshop, where key panelists and attendees will discuss research and business roadmaps in the fields of interest. Following the standards of the WWW conference in terms of industrial perspectives, we aim at building up a bridge between research 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

BiDAW welcomes original contributions about all topics related to big data management and AI, including 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 papers award will be done 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.

Submission Guidelines

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 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. We welcome two types of submissions: (1) Research paper and (2) Industry paper. The “Research paper” submissions are not allowed to exceed twelve pages including their references. The “Industry paper” submissions should be a maximum six pages. All papers should be submitted via Easychair.

Workshop Proceedings:

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

Important Dates:

  • Paper submission extended: February 15, 2021
  • Notification of acceptance: February 21, 2021
  • Camera-ready and early registration: March 1, 2021
  • Workshop: April 16, 2021

Technical Program Committee Members:

  • Maribel Acosta (Ruhr University Bochum, Germany)
  • Sören Auer (TIB-Leibniz Information Centre for Science and Technology and L3S Research Centre, Leibniz University of Hannover, Germany)
  • David Chaves (Universidad Politécnica de Madrid, Spain)
  • Diego Collarana (Fraunhofer IAIS, Germany)
  • Oscar Corcho (Universidad Politécnica de Madrid, Spain)
  • Shahi Dost (TIB-Leibniz Information Centre for Science and Technology, Germany)
  • Justin Dowdy (Olive AI, USA)
  • Shahram Dustdar (Technical University of Vienna, Austria)
  • Kemele Endris (L3S Research Centre, Leibniz University of Hannover, Germany)
  • Irlán Grangel (Bosch Corporate Research, Germany)
  • Bahman Javadi (University of Western Sydney, Australia)
  • Eirini Ntoutsi (L3S Research Centre, Leibniz University of Hannover, Germany)
  • Freddy Priyatna (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)
  • Steffen Staab (University of Stuttgart, Germany)
  • Xiaojun Zeng (University of Manchester, UK)

General Chairs:

Maria-Esther Vidal

TIB-Leibniz Information Centre for Science and Technology and l3S Research Center,

Local Organizing Committee:

Ali Behravan

University of Siegen,

Mahdi Bohlouli


Gabriela Ydler


Keynote Speaker:

Prof. Dr. Louiqa Raschid has made pioneering contributions towards meeting data integration and data management challenges in multiple non traditional domains including the life sciences, health information systems, Web data delivery, humanitarian IT applications, social media monitoring, and the next generation of data science for finance research. Her multi-disciplinary research spans the fields of computer science, information systems and data science.

She is a professor at the University of Maryland where she holds appointments in the Institute of Advanced Computer Studies, the Smith School of Business and Computer Science.  She received her primary and secondary education at Bishop’s College and St. Bridget’s Convent in Sri Lanka, and was ranked first in the 1973 island-wide General Certificate of Education Ordinary Level (Year 10) examination.

She received a Bachelor of Technology degree from the Indian Institute of Technology, Madras in 1980, and an MS and Ph.D. degree from the University of Florida, Gainesville in 1982 and 1987, respectively, in electrical engineering.

She was Editor in Chief of the ACM Journal of Data and Information Quality and is on the editorial board of ACM Computing Surveys.  Her research has been supported by the US National Science Foundation and DARPA. She is a Fellow of the ACM and IEEE.

Keynote Speech: “Explorations of Data Scientist: DSfin Communities”.

Abstract: While there is a long tradition of data driven econometric and statical research in finance, there is a compelling need today to analyze complex financial ecosystems and networks, e.g., the supply chain of real-estate securities based on sub-prime loans, or Over-the-Counter (OTC) trades in financial gray markets, to monitor systemic risk, and to design interventions to manage the next financial crisis. In this presentation, I will discuss two projects to create novel datasets, and to apply a range of methods to gain insight into the behavior of financial institutions and individuals.

Program is now online !

2021 Innovation Workshop on Transforming Big Data into Actionable Knowledge (3rd BiDAW 2021)
Time (CEST)TitleAuthor/Affiliation
16:00 – 16:15


16:15 – 16:40Improving Bounce Rate Prediction for Rare Queries by Leveraging Landing Page Signals Yeshi Dolma: Microsoft Corporation; Raunak Kalani: Microsoft Corporation; Astha Agrawal: Microsoft Corporation; Saurav Basu: Microsoft Corporation;
16:40 – 17:10Managing Knowledge in Energy Data SpacesValentina Janev: The Mihajlo Pupin Institute; Maria-Esther Vidal: TIB-Leibniz Information Centre for Science and Technology and l3S Research Center, Germany; Kemele Endris: TIB-Leibniz Information Centre for Science and Technology and l3S Research Center, Germany; Dea Pujić: The Mihajlo Pupin Institute
17:10 – 17:40Analyzing a Knowledge Graph of Industry 4.0 StandardsIrlan Grangel: Bosch Corporate Research; Maria Esther Vidal: TIB Leibniz Information Center for Science and Technology
17:40 – 17:50

Digital Coffee Break

17:50 – 18:20EMR: Scalable Clustering of Big HR Data using Evolutionary MapReduceMahdi Bohlouli: Petanux GmbH; Zhonghua He: Intel Shanghai
18:20 – 18:50SciBiD: Novel Scientometrics and NoSQL-enabled Scalable Analysis of Big Scholar DataMahdi Bohlouli: Petanux GmbH; Jonathan Hermann: Assecor GmbH; Fabian Sunnus: University of Siegen
18:50 – 19:00Digital Coffee Break 
19:00 – 19:45Keynote Speech: Explorations of Data Scientist: DSfin CommunitiesProf. Dr. Louiqa Raschid, University of Maryland
19:45 – 20:00Q&A and Closing Remarks

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 (BMBF) and German Aerospace Center (DLR) project management agency (DLR Projektträger (campaign “The Future of Work).

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