Call for papers

DOLAP accepts short and long paper submissions.

The best papers presented at DOLAP are expected to 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 (ongoing) novel research works with preliminary results and vision/position papers outlining research issues for future work.

The page limit is 12 pages for full papers and 6 pages for short papers (in CEUR format, single-column, excluding references). Each submission will be reviewed by 3 members of the program committee, the review process is single-blind, and thus authors must include their names and affiliations in submissions.

Research topics

Research topics include, but are not limited to:

• Design and Language
  • Data management fundamentals: architectures, design, ETL/ELT, reverse ETL, modeling, data integration, database design for big data, 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, JSON), multimedia, spatial, temporal, and spatio-temporal data, stream and sensor data, semantic web, data lakes, data spaces, data quality, graph data, multistore and polystore solutions, multi-model data warehouse
  • Explainable, trustworthy, and interpretable analytics: bias in big data and how to mitigate it; data quality and data cleaning; FAIRness (Findability, Accessibility, Interoperability and Reusability) in OLAP
• 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 machines, database clusters, cloud infrastructures and serverless architectures, 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.
  • Analytics and ML: integration of analytics with machine learning, data mining, information retrieval, search engines, data science, predictive and prescriptive analytics.
  • Big Data applications: smart city, smart health, smart energy, smart grid, smart agriculture.
• AI Processing
  • Integration of AI and analytics: not only presenting what happened, but also why it happened, what likely will happen, and which actions can be relevant.
  • AI-supported environments: guiding users and automating discovery, preparation, decision making throughout the data analytics process

Submission instructions

Submissions will be accepted only through the submission site CMT at: https://cmt3.research.microsoft.com/DOLAP2027.

Double submissions to any other conference, workshop, or track of EDBT/ICDT will be rejected.

DOLAP papers must follow the CEUR Proceedings Format. Note that the only valid format is single column. Please use the Overleaf template at this link. Further instructions on copyright information for DOLAP will follow.

Long papers cannot exceed 12 pages in length, short papers cannot exceed 6 (excluding references).

Acknowledgements

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.