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INODE EOSC Workshop
21 May 2021

INODE project EOSC Workshop

Intelligent Open Data Exploration (INODE)

Project results overview

About this Event

Intelligent Open Data Exploration (INODE) is an EU project, funded under Horizon 2020 (http://www.inode-project.eu/). The mission of INODE is to develop a unified, effective platform that provides extensive access to open datasets through natural language queries for a wide range of users from larger scientific communities to the public. The INODE solution is demonstrated in three significant use cases in the fields of Cancer Biomarker Research, Research and Innovation Policy Making, and Astrophysics.

Motivation: This workshop aims at bringing EOSC members an insight into the INODE system, while integration and exploitation of INODE services would be promoted by EOSC-hub. The INODE system will be eventually integrated with EOSC-hub services and made available for a large international group of users in EOSC.

Structure of the workshop: The workshop will provide a comprehensive view on where INODE stands and how the INODE consortium is getting ready for the challenges ahead, till the completion of the INODE project in October 2022. Short presentations from the INODE use case providers will be intertwined with short demos from technical teams.

The program is structured around the following key topics:

  • Motivations for developing a system like INODE.
  • INODE architecture for exploring data in natural language, by pipelines operators and visually.
  • Technical demos on various systems integrated with INODE.

Program

  • 10:00 - 10:05 Welcome Speech (Kurt Stockinger, ZHAW, INODE Project Manager)
  • 10:05 - 10:20 INODE Use Case: Astrophysics (Max Fabricius, Srividya Subramanian, MPI)
  • 10:20 - 10:35 INODE Use Case: Cancer Research (Frederic Bastian, Tarcisio Mendes de Farias, SIB)
  • 10:35 - 10:50 INODE Use Case: Policy Making (Guillem Rull, SIRIS)
  • 10:50 - 11:00 INODE Architecture (Georgia Koutrika, Athena; Kurt Stockinger, ZHAW)
  • 11:00 - 11:10 Demos: Data Exploration and Explanation in Natural Language (NL): NL-to-SQL (Kate Kosten, ZHAW)
  • SQL-to-NL (Stavroula Eleftheraki, Athena)
  • 11:10 - 11:20 Demos: Data Exploration with Pipeline Operators (Sihem Amer-Yahia, Aurélien Personnaz, CNRS)
  • 11:20 - 11:30 Demos: Information Extraction and Database Enrichment
  • (Ellery Smith, ZHAW; Dimitris Papadopoulos, Infili)
  • 11:30 - 11:40 Demos: Knowledge Graphs for Data Access (Diego Calvanese, Davide Lanti, Alessandro Mosca, UNIBZ)
  • 11:40 - 12:00 Q&A

Time zone: Central European Summer Time

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