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Transforming Text Into Knowledge with Graphs: Report of the GDR MADICS DOING Action

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New Trends in Database and Information Systems (ADBIS 2024)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2186))

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Abstract

This paper provides an overview on graph databases for the retrieval and the integration of knowledge originating from textual data, attempting to bring together different bricks that are usually addressed separately. It explores concepts and insights that result from the scientific activities promoted by the GDR MADICS DOING Action (Intelligent Data: turning information into knowledge). The action promoted scientific discussion on the challenges, current findings, and open issues in converting textual data into information and, ultimately, knowledge. This topic has been investigated within a multidisciplinary context, involving specialists in Databases (DB), Natural Language Processing (NLP), Artificial Intelligence (AI), and professionals in various application domains.

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Notes

  1. 1.

    DOING is a coordination action funded by the network MADICS of the French Council of Scientific Research - CNRS http://www.madics.fr/actions/doing/. Created as a regional initiative in 2019, DOING extended its scope to a national level within the GDR MADICS in 2020 before attaining official status as an action.

  2. 2.

    The impact of the DOING coordination action goes beyond national boundaries, inspiring international initiatives: (i) A regional project, APR-IA, supported by the Centre Val de Loire region (2021–2024). (ii) The international workshop DOING@ADBIS, marking its 5th edition this year, underscores the far-reaching influence of DOING.

  3. 3.

    https://cambridge-intelligence.com/graph-data-modeling-101/.

  4. 4.

    DOING Webinar: Language-aware indexing for conjunctive path queries, George Fletcher, Eindhoven University of Technology, Netherlands, Mars, 2021.

  5. 5.

    DOING Webinar: Evaluating navigational queries over graphs, Domagoj Vrogoc, Pontificia Universidad Católica de Chile, Chili, July 2021.

  6. 6.

    MADICS Symposium, DOING workshop. On July 2022: Aperçu général des langages de requêtes pour graphes àpropriétés by Victor Marsault. On May 2023: A Researcher’s Digest of GQL by Liat Peterfreund.

  7. 7.

    DOING Webinar: Natural language processing for epidemiology & public health, Aurélie Névéol, CNRS, LISN, France, 5th July, 2021.

  8. 8.

    MADICS Symposium, DOING workshop: Tools for processing clinical reports in health data warehouses, Perceval Wajsbürt, Assistance de Paris - Hôpitaux de Paris (AP-HP), France, 25th June, 2023.

  9. 9.

    DOING Webinar: Building Scientific Knowledge Graphs from Scholarly Data, Davide Buscaldi, LIPN, Université Sorbonne Paris Nord, France, 17th May, 2021.

  10. 10.

    https://www.esilv.fr.

  11. 11.

    DOING Webinars: Managing data quality in the age of big data, Salima Benbernou, Université Paris Descartes, LIPADE, France, 5th June 2020; Building Scientific Knowledge Graphs from Scholarly Data, Davide Buscaldi, LIPN, Université Sorbonne Paris Nord, France, 17th May, 2021.

  12. 12.

    DOING Webinar: From Deep Learning to Deep Semantics, Andre Freitas, University of Manchester, UK, 8th July 2020.

  13. 13.

    DOING Panel, Representing content and extracting knowledge from texts: automatic language learning, graph management systems, machine learning for graph analysis and semantic web approaches, Symposium MADICS, Lyon, 2022.

  14. 14.

    French geological survey https://www.brgm.fr/en.

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Acknowledgements

This work was partially supported by the DOING project, a regional project funded by the council of the Centre Val de Loire Region (APR-IA).

Author information

Authors and Affiliations

  1. Univ. Orléans, INSA Centre Val de Loire, LIFO UR 4022, 45067, Orléans, France

    Mirian Halfeld-Ferrari

  2. Univ. Orléans, LLL UMR 7270, Orléans, France

    Anne-Lyse Minard

  3. CNRS, INSA Lyon, Univ. Claude Bernad Lyon 1, LIRIS, UMR5205, 69622, Villeurbanne, France

    Genoveva Vargas-Solar

Authors
  1. Mirian Halfeld-Ferrari
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  2. Anne-Lyse Minard
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  3. Genoveva Vargas-Solar
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Corresponding author

Correspondence to Mirian Halfeld-Ferrari .

Editor information

Editors and Affiliations

  1. Lebanese American University, Beirut, Lebanon

    Joe Tekli

  2. Free University of Bozen-Bolzano, Bolzano, Italy

    Johann Gamper

  3. Univ Pau & Pays de l'Adour, Anglet, Anglet, France

    Richard Chbeir

  4. Open University of Cyprus, Nicosia, Cyprus

    Yannis Manolopoulos

  5. Univ Pau & Pays de l'Adour, Anglet, Anglet, France

    Salma Sassi

  6. University of Novi Sad, Novi Sad, Serbia

    Mirjana Ivanovic

  7. Délégation Rhône Auvergne, Villeurbanne, France

    Genoveva Vargas-Solar

  8. University of Calabria, Arcavacata, Italy

    Ester Zumpano

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Halfeld-Ferrari, M., Minard, AL., Vargas-Solar, G. (2025). Transforming Text Into Knowledge with Graphs: Report of the GDR MADICS DOING Action. In: Tekli, J., et al. New Trends in Database and Information Systems. ADBIS 2024. Communications in Computer and Information Science, vol 2186. Springer, Cham. https://doi.org/10.1007/978-3-031-70421-5_13

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