DOLAP: Data Warehousing and OLAP



Past:   Proceedings on DBLP

Future:  Post a CFP for 2021 or later   |   Invite the Organizers Email


All CFPs on WikiCFP

Event When Where Deadline
DOLAP 2020 Data Warehousing and OLAP
Mar 30, 2020 - Mar 30, 2020 Copenhagen Oct 31, 2019
DOLAP 2019 Data Warehousing and OLAP
Mar 26, 2019 - Mar 26, 2019 Lisbon Oct 21, 2018
DOLAP 2015 ACM 18th International Workshop On Data Warehousing and OLAP
Oct 23, 2015 - Oct 23, 2015 Melbourne, Australia Jun 26, 2015
DOLAP 2013 16th International Workshop on Data Warehousing and OLAP
Oct 27, 2013 - Oct 27, 2013 Burlingame, CA, USA Jun 24, 2013
DOLAP 2012 ACM 15th International Workshop on Data Warehousing and OLAP
Nov 2, 2012 - Nov 2, 2012 Maui - Hawaii - USA Jun 29, 2012
DOLAP 2011 Fourteenth International Workshop on Data Warehousing and Olap
Oct 28, 2011 - Oct 28, 2011 Glasgow, Scotland, UK Jul 3, 2011
DOLAP 2010 ACM International Workshop On Data Warehousing and OLAP
Oct 26, 2010 - Oct 26, 2010 Toronto, Canada Jun 22, 2010
DOLAP 2009 ACM Twelfth International Workshop on Data Warehousing and OLAP
Nov 2, 2009 - Nov 2, 2009 Hong Kong, China Jul 5, 2009
DOLAP 2008 ACM Eleventh International Workshop on Data Warehousing and OLAP
Oct 30, 2008 - Oct 30, 2008 Napa Valley, CA, USA Jul 4, 2008

Present CFP : 2020

Call for Papers
DOLAP 2020
22nd Int. Workshop On Design, Optimization, Languages
and Analytical Processing of Big Data
March 30, 2020
Copenhagen, Denmark

Colocated with EDBT/ICDT 2020

This year, to promote novel ideas on advanced data management and analytics for
next generation decision support systems, DOLAP 2020 will foster a special theme
on Semantic Web Technologies meet Big Data Management and Analytics.
A specific track will be devoted to this topic.

DOLAP is a well-established and known forum ranked as "very good event" in the last
edition of the GII-GRIN-SCIE Conference Ranking:

DOLAP 2020 will keep its tradition of proposing the best papers to a special issue
in a top-ranked journal.

Research in data warehousing and OLAP has produced important technologies for the
design, management, and use of information systems for decision support.
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.

DSS of the future will consequently be significantly different than what the current
state-of-the-practice supports. 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 (including both data management and data analysis tasks). This means
that systems partially guide their users towards data discovery, management and
system-aided decision making via intelligent techniques (beyond OLAP) 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.
And of course, this does not necessarily mean to re-invent the wheel, but rather,
complement the wealth of research in DSS with other approaches. We envision DOLAP 2020
as a forum to discuss, foster and nurture novel ideas around these new landscapes of
decision support systems in the era of big data in order to produce new exciting results,
within a strong, vibrant community around these areas.

DOLAP 2020 strenghts its commitment towards an open community attracting new ideas
around decision support systems by introducing a special theme "Semantic Web Technologies
meet Big Data Management and Analytics". Semantic Web Technologies allow the enrichment
of tasks / processes by means of rich annotations. Such annotations have already been
successfully exploited by previous works in the field of decision support system to
(semi-)automate data management tasks such as data integration, provenance,
evolution or even query optimization via past evidences traced, among others. Similarly,
semantic web technologies had a big impact on data analytics. For example, using
annotations to enable reinforced learning, or exploiting their underlying graph-based
formalisms to unleash graph traversals, pattern matching, graph algorithms or graph mining
that naturally fit graph-alike data.
DOLAP 2020 welcomes novel ideas on advanced data management and analytics for next
generation decision support systems and will devote one session to the special theme.
Since the main objective is to promote discussion, short papers presenting interesting
ideas not fully developed are welcome and might also be considered for the DOLAP 2020
best papers journal special issue.

Important dates
Submission deadline: October 31, 2019
Notification after 1st round of reviews: December 12, 2019
Submission of revised papers: January 9, 2020
Final notification: January 22, 2020
Camera-Ready Due: February 17, 2010

The second submission round is meant for papers with an unclear outcome so that authors
can provide their comments. After the first round of reviews 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:
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

* 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.

Similarly as in previous years, the proceedings of DOLAP 2020 shall be submitted to for online publication (open access) and will be indexed by Citeseer,
DBLP, and Google Scholar.


Authors can submit:
* short papers (of maximum 5 pages) including vision, PhD, demos, 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

More information on the submission procedure (via EasyChair) and requirements

Program Committee at:

Contact Information at:

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