talk · Thursday 24 September · 11:15–⁠11:27 · SAL B

Traits Thesaurus: toward semantic harmonization of FAIR trait-based data on aquatic organisms

Jessica Titocci · AI-Readiness Metrics and Metadata for Biodiversity Data

Recording time 3:12:57–3:26:41Open on Vimeo ↗

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The short versionA community-validated SKOS thesaurus of aquatic trait terms and units can make open trait data genuinely interoperable across taxa.

Overview

What this was about

Jessica Titocci presented the Trait Thesaurus, a SKOS thesaurus developed with LifeWatch Italy to harmonise functional trait terminology for aquatic organisms. She described the heterogeneity of trait data (sources, aggregation levels, repositories, structures) and especially semantic heterogeneity, such as 'body size' meaning prosome length for copepods. Four separate domain thesauri (fish, macroalgae, phytoplankton, zooplankton) were merged by manual and automated ontology alignment into a unified resource of over 1,500 concepts (now five schemes including macrobenthos) published on EcoPortal, with URIs, synonyms, definitions, units and SKOS mappings to existing resources. It is used for semantic annotation in LifeWatch Italy's portal and in projects like PoMP.

Why it matters. Open trait data are not automatically reusable; shared definitions are needed for cross-taxa synthesis and for AI/NLP applications on trait data.

Key ideas

In the room

  • Trait data come from literature, collections, in situ monitoring and remote sensing, at individual, species or community level, quantitative or qualitative, in varied repositories and structures.
  • Semantic heterogeneity is the hardest problem: different terms for the same thing and the same term with different meanings (e.g. body size vs prosome length in copepods).
  • Development steps: scoping, term gathering, formalisation (SKOS data model, VocBench editor), then editing and community validation before publication.
  • Four independent domain thesauri (fish, macroalgae, phytoplankton, zooplankton) were aligned manually and automatically into one Trait Thesaurus of more than 1,500 concepts.
  • Now five schemes (including macrobenthos); each term has a preferred label, URI, synonyms, definition, scheme membership, units and SKOS closeMatch/exactMatch mappings.
  • Published on EcoPortal; used for semantic annotation of datasets, metadata and attributes in the LifeWatch Italy data portal and metadata catalogue.
  • Applied to harmonise plankton datasets in the Polar Ocean Mitigation Potential (PoMP) project and in progress for a coral reef benthic database.
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Transcript

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Programme abstract

Traits Thesaurus: toward semantic harmonization of FAIR trait-based data on aquatic organisms

Jessica Titocci

Trait-based approaches are increasingly important in biodiversity and ecological research, particularly for assessing community and ecosystem responses to biodiversity loss and environmental change. Functional traits provide essential information linking species and community characteristics to ecosystem functioning across spatial and temporal scales. However, the growing use of trait-based methods across ecological domains has highlighted the lack of harmonised trait definitions, terminologies, and measurement units. This semantic heterogeneity limits interoperability, data integration, and reuse of trait information across studies, taxa, and ecosystems, representing a major barrier to large-scale biodiversity synthesis. To address these limitations, we developed the Traits Thesaurus, a controlled vocabulary containing more than 1,500 standardised trait concepts for aquatic organisms. The thesaurus unifies and significantly expands five existing vocabularies dedicated to Phytoplankton, Macroalgae, Zooplankton, Macrozoobenthos, and Fish traits within a single interoperable framework. Its development followed a collaborative, community-endorsed development and validation process involving more than 40 experts from different ecological and biodiversity research domains. The resource provides stable URIs, clear definitions, preferred and alternative labels, and semantic mappings to external vocabularies and ontologies. Designed according to FAIR and Linked Open Data principles, the Traits Thesaurus supports semantic annotation, interoperability, and integration across biodiversity information systems and ecological disciplines, facilitating large-scale data mobilisation and advancing trait-based biodiversity and ecosystem research.

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