A scalable exemplar-based method for aligning biological taxonomies.

IF 1.3 4区 环境科学与生态学 Q3 BIODIVERSITY CONSERVATION
Biodiversity Data Journal Pub Date : 2026-06-17 eCollection Date: 2026-01-01 DOI:10.3897/BDJ.14.e191754
Jonathan Rees, Nico M Franz, Beckett Sterner
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引用次数: 0

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.

一种可扩展的基于范例的生物分类校准方法。
本文描述了一种基于范例的物种清单校准方法。许多领域的生物学家经常使用表,这些表的行表示分类组(更正式地称为分类概念)。这些表格,在这里被称为核对表,是交流包含在许多研究文章、为研究项目和实验室开发的数据库以及综合分类资源(如哺乳动物多样性数据库和生命目录)中的信息的基本成分。一个重要的活动是协调或对齐两个或多个检查表(也称为分类概念映射),即将一个检查表的记录与另一个检查表的记录联系起来。我们的基于范例的比对实现在实用和计算上都是可扩展的:它不需要劳动密集型的手工处理核对表或比对,它有效地处理大型核对表,并且有效地意识到分类概念关系映射。实现基于范例的方法的开源代码可以作为List Tools软件库的一部分在线获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biodiversity Data Journal
Biodiversity Data Journal Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
2.20
自引率
7.70%
发文量
283
审稿时长
6 weeks
期刊介绍: Biodiversity Data Journal (BDJ) is a community peer-reviewed, open-access, comprehensive online platform, designed to accelerate publishing, dissemination and sharing of biodiversity-related data of any kind. All structural elements of the articles – text, morphological descriptions, occurrences, data tables, etc. – will be treated and stored as DATA, in accordance with the Data Publishing Policies and Guidelines of Pensoft Publishers. The journal will publish papers in biodiversity science containing taxonomic, floristic/faunistic, morphological, genomic, phylogenetic, ecological or environmental data on any taxon of any geological age from any part of the world with no lower or upper limit to manuscript size.
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