C  A  L  L     F O R       P A P E R S

The 23rd International Conference on Big Data Analytics and Knowledge Discovery (DaWaK2021)
September 27-30, 2021 - Linz, Austria

email: dawak2021@easychair.org
Papers submission: https://easychair.org/conferences/?conf=dawak2021

Paper submission: April 1, 2021
Notification of acceptance: June 1, 2021
Camera-ready copies due: June 30, 2021

All accepted conference papers will be published in a volume of "Lecture Notes in Computer Science" (LNCS) by Springer. 
Selected high-quality papers will be invited to be published, after revision and extension, in a special issue of Data & Knowledge Engineering (DKE).

**** SCOPE ****
The annual DaWaK conference is a high-quality forum for researchers, practitioners and developers in the field of Big Data Analytics, in a broad sense. The objective is to explore, disseminate and exchange knowledge in this field through scientific and industry talks. The conference covers all aspects of DaWaK research and practice, including data lakes (schema-free repositories), database design (data warehouse design, ER modelling), big data management (tables + text + files), query languages (SQL and beyond), parallel systems technology (Spark, MapReduce, HDFS), theoretical foundations and applications, text and data mining techniques, and deep learning. The conference will bring together active researchers from the database systems, cloud computing, programming languages and data science communities worldwide.
The list of main topics include: 
- Theoretical Models for Extended Data Warehouses and Big Data
- Parallel Processing
- Parallel DBMS Technology
- Schema-free Data Repositories
- Modelling diverse big data sources (e.g. text)
- Conceptual Model Foundations for Big Data 
- Query Languages 
- Query processing and Optimization
- Semantics for Big Data Intelligence
- Data Warehouses, Data Lakes
- Big Data Storage and Indexing
- Big Data Analytics: Algorithms, Techniques, and Systems
- Big Data Quality and Provenance Control
- Metadata for Big Data Framework
- Polystore and Multistore in Big Data and NoSQL DBMS
- Distributed System Architectures
- Cloud Infrastructure for Big Data
- Scalability and Parallelization using MapReduce, Spark and Related Systems
- Graph Analytics
- Visualization
- Big Data Search and Discovery
- Big Data Management for Mobile Applications
- Analytics for Unstructured, Semi-structured, and Structured Data
- Analytics for Temporal, Spatial, Spatio-temporal, and Mobile Data
- Analytics for Data Streams and Sensor Data
- Real-time/Right-time and Event-based Analytics
- Privacy and Security in Analytics
- Big Data Application Deployment
- Pre-processing and Data Cleaning
- Integration of Data Warehousing, OLAP Cubes and Data Mining
- Analytic Workflows
- Novel Applications of Text Mining to Big Data
- Deep Learning Applications 
- Data Science Products

Authors are invited to electronically submit original research contributions or experience reports in English. DaWak will accept submissions of both short and full papers.
- Short papers: up to 6 pages on preliminary work, vision papers or industrial applications
- Full papers: up to 12 pages and papers are expected to be more mature, contain more theory or present a survey (tutorial style) of some interesting topic.
Any submission that significantly exceeds length limits or deviates from formatting equirements may be rejected without review. The submitted manuscript should closely reflect the final paper as it will appear in the Proceedings.

Submitted papers will be carefully evaluated based on originality,significance, technical soundness, and clarity of exposition. Duplicate submissions are not allowed and will be rejected immediately without further review. 
Authors are expected to agree to the following terms: "I understand that the submission must not overlap substantially with any other paper that I am a co-author of or that is currently submitted elsewhere. Furthermore, previously published papers with any overlap are cited prominently in this submission."
Questions about this policy or how it applies to a specific paper should be directed to the PC Co-chairs.

Authors of selected papers presented at the conference will be invited to submit extended versions of their papers for publication in Data & Knowledge Engineering (DKE) Elsevier

All accepted conference papers (including the short ones) will be published in a volume of "Lecture Notes in Computer Science" (LNCS) by Springer Verlag. 

All published papers will be indexed appropriately in all major indexes. Authors of all accepted papers must sign a Springer copyright release form. Papers are accepted with the understanding that at least one author will register for the conference to present the paper. 

Authors of selected papers presented at the conference will be invited to submit extended versions of their papers for publication in Data & Knowledge Engineering (DKE) Elsevier. The submitted extended versions will undergo a further review process. Both full and short papers have the opportunity to be invited for journal submission, based on the quality of 
the presentation at the conference.

**** Conference Chair ****
- Matteo Golfarelli
, University of Bologna, Italy
- Robert Wrembel, Poznan University of Technology, Poland

*** Program Committees ***
- Alberto Abello, Universitat Politècnica de Catalunya, Spain
- Toshiyuki Amagasa, University of Tsukuba, Japan
- Amin Beheshti Macquarie University, Australia
- Amin Belhassena, Université de Tlemcen, France
- Ladjel Bellatreche, LIAS/ENSMA, France
- Soumia Benkrid, ESI, Algeria
- Fadila Bentayeb, ERIC-Université Lumière Lyon 2, France
- Jorge Bernardino, ISEC - Polytechnic Institute of Coimbra, Portugal
- Vasudha Bhatnagar, University of Delhi, India
- Sandro Bimonte, Irstea, France
- Kamel Boukhalfa, University of Science and Technology Houari Boumediene, Algeria
- Omar Boussaid, ERIC Laboratory, France
- Joel Luis Carbonera, Federal University of Rio Grande do Sul, Brazil
- Frans Coenen, University of Liverpool, UK
- Alfredo Cuzzocrea, ICAR-CNR and University of Calabria, Italy
- Laurent D'Orazio, Univ Rennes, CNRS, IRISA, France
- Jérôme Darmont, Université de Lyon, France
- Soumyava Das, Teradata Labs, USA
- Karen Davis, Miami University, USA
- Alin Dobra, University of Florida, USA
- Markus Endres, University of Passau, Austria
- Leonidas Fegaras, University of Texas at Arlington, USA
- Philippe Fournier-Viger, Harbin Institute of Technology (Shenzhen), China
- Matteo Francia, University of Bologna, Italy
- Filippo Furfaro, DIMES - University of Calabria, Italy
- Pedro Furtado, University Coimbra / CISUC, Portugal
- Enrico Gallinucci, University of Bologna, Italy
- Carlos Garcia-Alvarado, Pivotal Inc., USA
- Marcin Gorawski, Silesian University of Technology and Wroclaw University of Technology, Poland
- Sven Groppe, University of Lbeck, Germany
- Hyoil Han, Illinois State University, USA
- Frank Höppner, Ostfalia University of Applied Sciences, Germany
- Stephane Jean, LISI/ENSMA and University of Poitiers, France
- Selma Khouri, Ecole nationale Supérieure d'Informatique (ESI), Algeria
- Jens Lechtenbörger, University of Münster, Germany
- Wookey Lee, Inha University, South Korea
- Young-Koo Lee, Kyung Hee University, South Korea
- Carson Leung, University of Manitoba, Canada
- Sofian Maabout, LaBRI. University of Bordeaux, France
- Patrick Marcel, Université de Tours, LIFAT, France
- Amin Mesmoudi, LIAS, Université de Poitiers, France
- Rim Moussa, ENICarthage, Tunisia
- Boris Novikov, National Research University Higher School of Economics, Russia
- Makoto Onizuka, Osaka University, Japan
- Carlos Ordonez, University of Houston, USA
- Praveen Rao, University Of Missouri, USA
- Franck Ravat, IRIT, Université de Toulouse, France
- Oscar Romero, Universitat Politècnica de Catalunya, Spain
- Keun Ho Ryu, Chungbuk National University, South Korea
- Ilya Safro, University of Delaware, USA
- Alkis Simitsis, HP Lab, USA
- Emanuele Storti, Università Politecnica delle Marche, Italy
- Olivier Teste, IRIT, France
- Dimitri Theodoratos, New Jersey Institute of Technology, USA
- Predrag Tosic, Washington State University, Pullman, USA
- Panos Vassiliadis, University of Ioannina, Greece
- Wellington Cabrera, University of Hawaii, USA
- Hwan-Seung Yong, Ewha Womans University, South Korea
- Yinuo Zhang, Teradata Labs, USA
- Yongjun Zhu, Sungkyunkwan University, South Korea

For further inquiries, please contact the PC chairs (dawak2021@easychair.org)