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CORDIS - EU research results
CORDIS

Multi-site application of Open Science in the creAtion of healthy environments Involving local Communities

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Cluster newsletters 1 (opens in new window)

joint results dissemination via cluster newsletters

Software lifecycle roadmap (opens in new window)

Plan and timeline of all the significant software developmentprocess stages

Quality plan (opens in new window)

Quality plan with procedures in relation with management andcoordination tools

Functional requirements analysis (opens in new window)

Analysis of user needs and outline of system functionalities thatmeet them

Annual meeting report (year 1: Y1) (opens in new window)

Report on activities and results for the first annual meeting withstakeholders

Scientific strategy of the cluster (opens in new window)
Stakeholder involvement agreement (opens in new window)

Summary document with the stakeholder involvement agreement

Common dissemination strategy (opens in new window)

Common cluster activities, including a common dissemination and communication strategy for the cluster

Cluster brochure (opens in new window)

Cluster brochure with other selected for funding from the call HORIZON-HLTH-2023-ENVHLTH-02-01 “Planetary health: understanding the links between environmental degradation and health impacts”

Publications

Leveraging Knowledge Graphs for Earth System Dataset Discovery (opens in new window)

Author(s): Vincent Armant, Felipe Vargas-Rojas, Victoria Agazzi, Jean-Christophe Desconnets, Isabelle Mougenot, Valentina Beretta, Stephane Debard, Danai Symeonidou, Amira Mouakher, Joris Guérin, Thibault Catry, Emmanuel Roux
Published in: International Semantic Web Conference, Issue 2024, 2024
Publisher: University of Maryland, Baltimore County, U.S.
DOI: 10.1007/978-3-031-77847-6_15

Can Knowledge Graphs and Retrieval-Augmented Generation be combined to Explain Query/Answer Relationships Truthfully?

Author(s): Vincent Armant, Amira Mouakher, Felipe Vargas-Rojas, Danai Symeonidou, Joris Guérin, Isabelle Mougenot, Jean-Christophe Desconnets
Published in: 4th International Workshop on Data meets Ontologies in Explainable AI co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), Issue 2024, 2025, ISSN 1613-0073
Publisher: CEUR Workshop Proceedings

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