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A scalable exemplar-based method for aligning biological taxonomies

2026/06/17 by Jonathan Rees, Nico Franz, Beckett Sterner · 1 voice
Biochemistry, Genetics and Molecular Biology · Earth and Planetary Sciences · #Biomedical Text Mining and Ontologies #Genomics and Phylogenetic Studies #Evolution and Paleontology Studies

paper · pdf · doi:10.3897/bdj.14.e191754

openalex publication_date 2026/06/17 · openalex created_date 2026/06/18 · openalex updated_date 2026/07/02

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.

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