Biodiversity Information Science and Standards :
Conference Abstract
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Corresponding author: Franck Michel (franck.michel@inria.fr)
Received: 30 Aug 2021 | Published: 31 Aug 2021
© 2021 Franck Michel, Antonia Ettorre, Catherine Faron, Julien Kaplan, Olivier Gargominy
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:
Michel F, Ettorre A, Faron C, Kaplan J, Gargominy O (2021) Biodiversity Knowledge Graphs: Time to move up a gear! Biodiversity Information Science and Standards 5: e73699. https://doi.org/10.3897/biss.5.73699
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Harnessing worldwide biodiversity data requires integrating myriad pieces of information, often sparse and incomplete, into a global, coherent data space. To do so, projects like the Global Biodiversity Information Facility, Catalog of Life and Encyclopedia of Life have set up platforms that gather, consolidate, and centralize billions of records from multiple data sources. This approach lowers the entry barrier for scientists willing to consume aggregated biodiversity data but tends to build silos that hamper cross-platform interoperability.
The Web of Data embodies a different approach underpinned by the Linked Open Data (LOD) principles (
Today, we believe that it is time for more biodiversity data producers to join in and start publishing connected KGs spanning a much broader set of domains, far beyond just taxonomic registers. In this talk, we wish to present an on-going endeavor in line with this vision. In a previous work, we published TAXREF-LD (
We put a specific effort into working out a model that accurately accounts for the semantics of the data while respecting knowledge engineering practices. For instance, a common design shortcoming is to attach all information as properties of a taxon. This is a rightful choice for some properties like a scientific name or conservation status, but properties that actually pertain to biological individuals themselves, e.g. habitat and trophic level, should better be attched to class members. With the presentation of this work, we wish to advance the discussion about integration scenarios based on knowledge graphs with the different biodiversity data stakeholders.
linked data, modeling, modelling
Franck Michel
TDWG 2021