SEA Data

The 1st Workshop on Search, Exploration, and Analysis in Heterogeneous Datastores

Co-located with EDBT/ICDT 2020 (, Copenhagen, Denmark)

SEA Data workshop will provide a forum for researchers and practitioners to exchange ideas, results, and visions on challenges in data management, information extraction, exploration, and analysis of heterogeneous data and multiple data models at once.

Companies, governments, and organizations are now producing and collecting data from multiple heterogeneous sources, such as transactional data, internet traffic, logs, IoT applications, knowledge bases, and much more. The unprecedented pace in which data is produced and consumed calls for methods that organize, retrieve, and analyze such data appropriately. While traditionally data were organized into homogeneous datastores and formats, our current data collection from multiple different sources makes such datastores impractical. Even within the same organization, data dwells in independent silos each with a distinct data model and serving a specific application, keeping relevant portions of the data separate from each other.

As a consequence, we have witnessed an increasing interest in systems and methods that try to handle and analyze multiple data sources and formats holistically. Data-lakes and polystores are the most prominent examples of such heterogenous datastores. Moreover, graphs and learned databases have recently attracted the attention of the community for their flexibility in modeling, managing, and organizing heterogeneous data. Due to the fast pace of data collection and evolution, consolidating all the sources into a single data format and loading them into a single store is usually impractical.

Hence, the first challenge that these systems face is to provide flexible storage and retrieval methods that can adapt to multiple models and domains. On the other hand, from the user perspective, when such diverse data is collected, the tasks of data discovery, exploration, and analysis become even more challenging. These solutions in the case of heterogeneous datastores remain still widely uncharted for a lack of established methods that allow effective multi-model data retrieval and exploration. Data analytics should also accommodate issues due to the lack of shared dimensions, ambiguous semantics, and the need to ensure the quality and lineage of the analytical result.

Workshop Chairs

Important Dates

  • Submission: AoE
  • Notification: AoE
  • Camera Ready due: AoE
  • Workshop:

Submission types

  • Regular research and system papers (up to 6 pages)
  • Vision & work-in-progress papers (up to 4 pages)
  • Experiments & experiences (up to 4 pages) 

Submit your work!


SEA Data aims at gathering researchers and practitioners from various communities related to databases. We gladly accept submissions that present initial ideas and visions, just as much as reports on early results, or reflections on completed projects. The workshop will focus on discussion and interaction, rather than static presentations of what is in the paper. A list of relevant topics is presented below

  • Querying and analyzing data lakes and polystores;
  • Cross-platform query processing and analytics;
  • Theory of heterogeneous data management;
  • Multi-model data exploration and analysis;
  • Novel user interfaces and query paradigm for searching heterogeneous data;
  • Exploration and search for heterogeneous unstructured and semi-structured data (e.g., knowledge graphs, web documents, semantic web);
  • Exploration of large datasets including multiple sources;
  • Data visualization of heterogeneous data;
  • Example-based search and discovery for heterogeneous data;
  • User-driven approaches on complex datasets;
  • Novel analyses involving multiple data sources;
  • Federated search, exploration, and analysis;
  • Approximate, anytime, and fast algorithms for extracting information from heterogeneous datastores;
  • Learnable structures for multi-model datasets;
  • Self-assembling data management systems;

Program Committee

Submission Guidelines

All submissions will be electronic via the Easychair submission system.

Regular research papers as well as system papers have a page limit of 6 pages (references included).

Vision papers, work-in-progress papers, experiments papers, and experiences papers have a page limit of 4 pages (references included).

SEA Data workshop 2020 is single-blind, and thus authors must include their names and affiliations in submissions.

All workshop papers will be published online at CEUR.


Papers must follow the ACM Proceedings Format (available here).

Please make sure you are using the latest 2020 version and use \documentclass[sigconf]{acmart}.

The font size, margins, inter-column spacing, and line spacing in the templates must be kept unchanged.

Any submitted paper violating the length, file type, or formatting requirements will be rejected without review.

Workshop Program

  • To be announced

SEA Data will be co-located with the EDBT/ICDT 2020 Joint Conference, to be hosted in Copenhagen, Denmark.


Scandic Falkoner Congress Center
Falkoner Alle, 9
Copenhagen, Denmark,

Follow us on tiwtter @SEADataConf for #SeaData2020 .