Biodiversity Information Science and Standards :
Conference Abstract
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Corresponding author: Lyubomir Penev (l.penev@pensoft.net)
Received: 26 Aug 2024 | Published: 27 Aug 2024
© 2024 Lyubomir Penev, Dimitrios Koureas, Quentin Groom, Jerry Lanfear, Donat Agosti, Ana Casino, Joe Miller, Guy Cochrane, Olaf Bánki, Urmas Kõljalg, Patrick Ruch, Anton Güntsch, Jose Benito Gonzalez Lopez, Patricia Mergen, Joana Pauperio, Tobias Kuhn, Nikos Minadakis, Vincent Smith, Christos Arvanitidis
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Penev L, Koureas D, Groom Q, Lanfear J, Agosti D, Casino A, Miller J, Cochrane G, Bánki O, Kõljalg U, Ruch P, Güntsch A, Benito Gonzalez Lopez J, Mergen P, Pauperio J, Kuhn T, Minadakis N, Smith V, Arvanitidis C (2024) Beyond BiCIKL: Towards Building an AI-Assisted “Biodiversity Supergraph”. Biodiversity Information Science and Standards 8: e135550. https://doi.org/10.3897/biss.8.135550
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BiCIKL (Biodiversity Community Integrated Knowledge Library) is a European Union (EU) Horizon 2020 project (2021–2024) building a new community of research infrastructures (RIs), researchers and other stakeholders, through improved access to interlinked, open and FAIR (Findable, Accessible, Interoperable, Reusable) biodiversity data along the biodiversity research cycle (specimens, sequences, taxon names, publications) (
The results of BiCIKL are diverse and tackle various aspects of the implementation of open science practices in biodiversity research. The project partners and external collaborators from the Open Call projects published more than 80 papers and conference abstracts (see the article collections in
The new BiCIKL community proved to be successful in both technological innovation and long-lasting spirit of collaboration between biodiversity and genomics researchers, data repositories, RIs, publishers and other stakeholders.
Beyond BiCIKL, we envisage our work towards further integration and interoperability between data domains by embracing human-in-the-loop collaborations, enhanced by Artificial Intelligence (AI). The implementation of AI and Large Language Models (LLM) should be possible when considering an important condition: to understand the complexity of past, recent and future changes in biodiversity and natural environments the use of AI tools should be based on аdequately curated, semantically structured and interlinked biodiversity data. We see this radical new step as a concerted community effort towards building a “Biodiversity Supergraph” (Fig.
lllustration of the transition from BiCIKL to the BiCIKL+ concept, showing the various knowledge graphs (KG) and services that will realise an advanced access to the biodiversity data and its reuse in the "Biodiversity Supergraph".
The “Biodiversity Supergraph'' will provide integration of the biodiversity data on a scale and operational level that has never been attempted before. It is key for the next decade, to enable a baseline of global, biodiversity-related information serving organisations, academia, industry and society.
biodiversity informatics, data interorperability, data integration, Linked Open Data, knowledge graph
Lyubomir Penev
SPNHC-TDWG 2024
The BiCIKL project receives funding from the European Union's Horizon 2020 Research and Innovation Action under grant agreement No 101007492.
H2020-INFRAIA-2020-1: Integrating Activities for Starting Communities
Biodiversity Community Integrated Knowledge Library (BiCIKL), Grant No 101007492.