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                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 (Virtual)

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

Paper submission: May 2, 2021 (HARD deadline)
Notification of acceptance: June 1, 2021
Camera Ready due: June 22, 2021
LNCS volume ready: June 30, 2021

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

**** SCOPE ****
he 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.

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 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
  hot or not yet explored topics

Any submission that significantly exceeds page limits or deviates from formatting requirements may be rejected without reviewing. A submission should closely reflect the final paper, the way it will appear in the proceedings.

Formatting guidelines: http://www.dexa.org/formatting_guidelines
Online papers submission: https://easychair.org/conferences/?conf=dawak2021

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 reviewing. 
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.

All accepted conference papers (including the short ones) will be published in the "Lecture Notes in Computer Science" (LNCS) volume, 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 the journal, based on the reviews and the quality of a presentation at the conference.

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

**** Program Committee ****

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