Call for Papers


DOLAP accepts short and long paper submissions. The page limit is 10 pages for full papers and 5 pages for short papers (in ACM format). Each submission will be reviewed by 3 members of the program committee. The best papers presented at DOLAP will be invited to a special issue of Information Systems.

Long papers include novel and mature research, industrial or survey work. Long papers of good quality but not mature enough might 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.
  • PhD: single-authored submissions from PhD students at the early stages of their PhD studies, describing the problem focused on, its importance, why existing solutions are not sufficient, and outlining of the novel contribution envisioned.
  • Demonstrations: they will enjoy a presentation in the main sessions, not as a separate "interactive" session. The authors will be asked to prepare a recorded video that shows the system functionality and a few slides to present main features, architecture and research behind.
Special Theme: Semantic Web Technologies meet Big Data Management and Analytics. In order to promote novel solutions to tackle data management for novel decision support systems, DOLAP 2020 will devote a whole session to Semantic Web Technologies and their impact on novel Big Data Management and Analytics approaches. This session will cover any of the research topics listed below where Semantic Web Technologies are used to propose novel approaches. 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.

A whole DOLAP 2020 session will be devoted to papers related to this theme. Be sure to select the special theme when submitting your paper.

Research topics include, but are not limited to:

Design and Language Optimization Analytical Processing and applications