Call for Papers
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                                   DOLAP 2021
              23rd Int. Workshop On Design, Optimization, Languages
                      and Analytical Processing of Big Data
                                 March 23, 2021
                                Nicosia, Cyprus 
                       https://sites.google.com/view/dolap-2021

                         Co-located with EDBT/ICDT 2021


NEW DEADLINES 
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Abstract/Paper submission: December 8, 2020


Highlights
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*Keynote* Ioana Manolescu will be the keynote speaker at DOLAP 2021
*Special Theme* This year, to promote novel ideas on advanced data management and 
analytics for next generation decision support systems, DOLAP 2021 will foster a 
special theme on Data Exploration. 
*Special Issue* DOLAP 2021 will keep its tradition of inviting the best papers to a 
special issue of Information Systems. 
*Best Paper Award* Happy to announce the continuation of the Best Paper Award that is 
presented to the authors written the best paper according to the Program Committee reviews.


DOLAP is a well-established and known forum ranked as "very good event" in the last
edition of the GII-GRIN-SCIE Conference Ranking: http://gii-grin-scie-rating.scie.es/

Nowadays, due to the advent of Big Data, Decision Support Systems (DSS) embrace a wider 
range of systems, in which novel solutions combining advanced data management and data 
analytics, (semi-)automating the data lifecycle (from ingestion to visualization). Yet, 
the DSS principles remain the same: these systems acknowledge the relevance to manage 
data in an efficient way (by means of data modeling and optimized data processing) to 
serve innovative data analysis bringing added value to organizations. The trend is to 
move from current systems that are "data presenting" to more dynamic systems that allow 
the semi-automation of the decision making process. This means that systems partially 
guide their users towards data discovery, management and system-aided decision making 
via intelligent techniques and visualization. In the back stage, the advent of the big 
data era, requires that new methods, models, techniques and architectures are developed 
to cope with the increasing demand in capacity, data type diversity, schema and data 
variability and responsiveness. 

To promote novel solutions to tackle data management for novel DSS, DOLAP 2021 will 
devote a session to Data Exploration and their impact on novel Big Data Management and 
Analytics approaches.


Important dates 
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Abstract Submission: 				December 8, 2020
Paper Submission: 				December 8, 2020
Notification after 1st round of reviews: 	January 10, 2021
Submission of revised papers: 			January 20, 2021
Final notification: 				February 10, 2021
Camera ready: 					February 20, 2021 
Workshop date: 					March 23, 2021

The second review round is for uncertain cases where the reviewers ask for clarifications 
prior to accept the paper. Authors are expected to address the comments posed by the 
reviewers and resubmit the revised papers for a final decision. 


Research topics include, but are not limited to: 
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Design and Languages
* Data management fundamentals: architectures, design, ETL/ELT, modeling, 
  data integration, query processing, maintenance, evolution, security, personalization 
  and privacy in decision support systems
* Data variety: unstructured data (e.g., text), semi-structured data 
  (e.g., XML), multimedia, spatial, temporal, and spatio-temporal data, 
  stream and sensor data, semantic Web & deep Web, data lakes, data spaces,
  data quality, graph data

Optimization
* Coping with Volume: physical organization, performance optimization and tuning, 
  scalability, MapReduce and Spark for data analytics, performance optimization of ETL/ELT
* Coping with Velocity: Deployment on parallel machine, database clusters, cloud
  infrastructures, smart grid, active/real-time analytics, real-time queries

Analytical Processing and applications
* Analytics and Value: OLAP, data exploration through visualization, recommendation, 
  reformulation, approximate query-answering, personalization, result presentation, 
  data storytelling, graph analytics, process mining, advanced visualization for 
  business contexts
* Analytics and Veracity: heterogeneous data integration for analytics, quality aspects 
  of data analysis, exploration outcome and end-user experience, fairness of data 
  analysis, analytics and data driven decision making for the data enthusiasts
* Integration of analytics with machine learning, data mining, information retrieval, 
  search engines, predictive and prescriptive analytics
* Big Data applications: smart city, smart health, smart energy, etc. 

*Special Theme on Data Exploration*


Publication
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Similarly as in previous years, the proceedings of DOLAP 2021 shall be submitted to 
CEUR-WS.org for online publication (open access) and will be indexed by Citeseer, 
DBLP, and Google Scholar.


Submission
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Authors can submit: 
* Short papers (of maximum 5 pages) including vision, and preliminary 
  works to be discussed with the community
* Long papers (of maximum 10 pages) including novel research contributions, an 
  architecture of a commercial system or solution, results of case studies and 
  experience report, survey papers, or on-going work on a challenging and emerging 
  area. 
		
More information on the submission procedure (via EasyChair) and requirements 
at: https://sites.google.com/view/dolap-2021/home/call-for-papers


Workshop Chairs 
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Kostas Stefanidis, Tampere University, Finland 
konstantinos.stefanidis@tuni.fi
Patrick Marcel, University of Tours, France 
patrick.marcel@univ-tours.fr