DOLAP 2022: 24th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data
Co-located with EDBT 2022, Edinburgh, UK
March 29, 2022
Co-located with EDBT 2022, Edinburgh, UK
March 29, 2022
(October 07, 2022) DOLAP 2023 website is live: https://sites.google.com/view/dolap2023
(January 24, 2022) Accepted papers posted
(December 9, 2021) Happy to announce that H. V. Jagadish will give a keynote talk at DOLAP 2022
(December 9, 2021) Formatting instructions updated again with a new .cls file and a sample .tex file
(December 9, 2021) NEW Paper submission deadline: December 15, 2021
(December 6, 2021) Formatting instructions updated with a new .cls file and a sample .tex file
(November 8, 2021) Happy to announce that Juliana Freire will give a keynote talk at DOLAP 2022 on building trust in computational results!
(October 14, 2021) Special Theme: Responsible Data Science
(October 08, 2021) The website is live.
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.
Research topics include, but are not limited to:
Design and Language: Data Management Fundamentals and Data Variety
Optimization: Coping with Volume and Velocity
Analytical Processing and Applications: Analytics in conjunction Value and Veracity, Integration of analytics with ML, DM, IR, search engines, recommenders, Big Data Applications
Special Theme on Responsible Data Science
DOLAP accepts short (5 pages) and long (10 pages) paper submissions in ACM format. Long papers include novel and mature research, industrial or survey work. Long papers of good quality but not mature enough may be accepted to the workshop as short papers. Short papers include:
On-going: novel research works with preliminary results.
Vision: position papers outlining research issues for future work.
DOLAP may include a second review round for uncertain cases where either there is no agreement among the reviewers, or they ask for a clarification prior to accept the paper.
Submissions will be accepted only through the submission site EasyChair:
https://easychair.org/conferences/?conf=dolap2022