SEAData 2021 - Search, Exploration, and Analysis in Heterogeneous Datastores - Call for participation

2nd Workshop on Search, Exploration, and Analysis in Heterogeneous Datastores.

Held in conjunction with the 47th Intl. Conference on Very Large Data Bases (VLDB)


IMPORTANT DATES (all deadlines are AoE):

Submission: April 30, 2021
Author notification: June 20, 2021
Camera-ready: July 20, 2021
Workshop: August 20, 2021

The 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, such as data lakes, polystores, knowledge bases and knowledge graphs.

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.

* regular research and system papers (up to 6 pages)
* experiments and analysis paper (up to 6 pages)
* vision & work-in-progress papers (up to 4 pages)

Papers must follow the VLDB Proceedings Format (



* Search, Exploration, and Analysis for heterogeneous unstructured and semi-structured data (e.g., knowledge graphs, web documents, semantic web);
* Multi-model data exploration and analysis;
* Querying and analyzing data lakes and polystores;
* Cross-platform query processing and analytics;
* Theory of heterogeneous data management;
* Machine-learning methods for multi-model data exploration and analysis.
* Novel user interfaces and query paradigm for searching heterogeneous data;
* Exploration of large datasets including multiple sources;
* Data visualization of heterogeneous data;
* Example-based search and discovery for multi-model and heterogeneous datastores;
* User-driven approaches on data-management for complex datasets;
* Novel analyses involving multiple data sources;
* Federated search, exploration, and analysis;
* Information integration and entity resolutions across heterogeneous knowledge-bases and multi-model databases;
* Approximate, anytime, and fast algorithms for extracting information from heterogeneous datastores;
* Learnable structures for multi-model datasets;
* Workload and Domain-agnostic self-assembling data management systems;

We also welcome submissions on thought-provoking applications and emerging uses of data management technology in heterogeneous datastores or multi-model databases.
The workshop also welcomes papers on negative results.


Davide Mottin, Aarhus University <>
Matteo Lissandrini, Aalborg University <>
Senjuti Basu Roy, New Jersey Institute of Technology <>
Yannis Velegrakis, Utrecht University <>


Manos Athanassoulis (Boston University)
Nikolaus Augsten (University of Salzburg)
Hamdi Ben Hamadou (Aalborg University)
Sonia Bergamaschi (University of Modena and Reggio Emilia)
Nikos Bikakis (University of Ioannina)
Angela Bonifati (University of Lille 1 & Inria)
Anastasia Dimou (Ghent University)
Laura Di Rocco (Northeastern University)
George Fletcher (Eindhoven University of Technology)
Daniele Foroni (Huawei)
Johan-Christoph Freytag (Humboldt University Berlin)
Paul Groth (University of Amsterdam)
Francesco Guerra (University of Modena and Reggio Emilia)
Olaf Hartig (Link??ping University)
Panagiotis Karras (Aarhus University)
Xiangyu Ke (Nanyang Technological University)
Haridimos Kondylakis (Foundation of Research & Technology-Hellas)
Georgia Koutrika (Athena Research Center)
Ioana Manolescu (INRIA)
Ren??e Miller (Northeastern University)
Gabriela Montoya (Aalborg University)
Themis Palpanas (Paris Descartes University)
Paolo Papotti (EURECOM)
Giulia Preti (ISI Fondazione)
Arkaprava Saha (National University Singapore)
Petra Selmer (Neo4j)
Gianmaria Silvello (University of Padua)
Alkis Simitsis (Athena Research Center)
Giovanni Simonini (University of Modena and Reggio Emilia)
Paolo Sottovia (Huawei)
Daniel Ting (Tableau)
Riccardo Torlone (University Roma Tre)
Aikaterini Tzompanaki (University of Cergy-Pontoise)
Kostas Zoumpatianos (Snowflake)

Matteo Lissandrini

Department of Computer Science
Aalborg University

Received on Thursday, 11 March 2021 20:20:45 UTC