A scalable exemplar-based method for aligning biological taxonomies

This article describes an exemplar-based approach to species checklist alignment. Biologists in many fields often work with tables whose rows denote taxonomic groups (more formally called taxonomic concepts). Such tables, here called checklists, are essential ingredients for communicating the information contained in many research articles, databases developed for research projects and laboratories and comprehensive taxonomic resources, such as the Mammal Diversity Database and Catalogue of Life. An important activity is reconciling or aligning two or more checklists (also called taxonomic concept mapping), i.e. relating the records of one checklist to the records of another. Our implementation of exemplar-based alignments is scalable both pragmatically and computationally: it does not require labour-intensive manual processing of the checklists or alignments, it handles large checklists efficiently and it is usefully aware of taxonomic concept relationship mappings. Open-source code implementing the exemplar-based approach is available online as part of the List Tools software library.

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Publication Details

Journal
Biodiversity Data Journal
Published
2026-06-17
DOI
https://doi.org/10.3897/bdj.14.e191754
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00

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article

A scalable exemplar-based method for aligning biological taxonomies

Beckett Sterner, Nico Franz, Jonathan Rees
Biodiversity Data Journal
Biomedical Text Mining and Ontologies
article

A scalable exemplar-based method for aligning biological taxonomies

Beckett Sterner, Nico Franz, Jonathan Rees
article en

Abstract

This article describes an exemplar-based approach to species checklist alignment. Biologists in many fields often work with tables whose rows denote taxonomic groups (more formally called taxonomic concepts). Such tables, here called checklists, are essential ingredients for communicating the information contained in many research articles, databases developed for research projects and laboratories and comprehensive taxonomic resources, such as the Mammal Diversity Database and Catalogue of Life. An important activity is reconciling or aligning two or more checklists (also called taxonomic concept mapping), i.e. relating the records of one checklist to the records of another. Our implementation of exemplar-based alignments is scalable both pragmatically and computationally: it does not require labour-intensive manual processing of the checklists or alignments, it handles large checklists efficiently and it is usefully aware of taxonomic concept relationship mappings. Open-source code implementing the exemplar-based approach is available online as part of the List Tools software library.

Biodiversity Data JournalVol. 14
University of Kansas (US), Arizona State University (US)
National Science Foundation, Arizona State University
Decent work and economic growth
Openalex Percentile: Top 11%
Biomedical Text Mining and Ontologies
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