Semantics in Support of Biodiversity Knowledge Discovery: An Introduction to the Biological Collections Ontology and Related Ontologies

Abstract

The study of biodiversity spans many disciplines and includes data pertaining to species distributions and abundances, genetic sequences, trait measurements, and ecological niches, complemented by information on collection and measurement protocols. A review of the current landscape of metadata standards and ontologies in biodiversity science suggests that existing standards such as the Darwin Core terminology are inadequate for describing biodiversity data in a semantically meaningful and computationally useful way. Existing ontologies, such as the Gene Ontology and others in the Open Biological and Biomedical Ontologies (OBO) Foundry library, provide a semantic structure but lack many of the necessary terms to describe biodiversity data in all its dimensions. In this paper, we describe the motivation for and ongoing development of a new Biological Collections Ontology, the Environment Ontology, and the Population and Community Ontology. These ontologies share the aim of improving data aggregation and integration across the biodiversity domain and can be used to describe physical samples and sampling processes (for example, collection, extraction, and preservation techniques), as well as biodiversity observations that involve no physical sampling. Together they encompass studies of: 1) individual organisms, including voucher specimens from ecological studies and museum specimens, 2) bulk or environmental samples (e.g., gut contents, soil, water) that include DNA, other molecules, and potentially many organisms, especially microbes, and 3) survey-based ecological observations. We discuss how these ontologies can be applied to biodiversity use cases that span genetic, organismal, and ecosystem levels of organization. We argue that if adopted as a standard and rigorously applied and enriched by the biodiversity community, these ontologies would significantly reduce barriers to data discovery, integration, and exchange among biodiversity resources and researchers.

DOI: 10.1371/journal.pone.0089606

Extracted Key Phrases

5 Figures and Tables

010202014201520162017
Citations per Year

52 Citations

Semantic Scholar estimates that this publication has 52 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@inproceedings{Walls2014SemanticsIS, title={Semantics in Support of Biodiversity Knowledge Discovery: An Introduction to the Biological Collections Ontology and Related Ontologies}, author={Ramona L. Walls and John Deck and Robert P. Guralnick and Steve Baskauf and Reed Beaman and Stanley D. Blum and Shawn Bowers and Pier Luigi Buttigieg and Neil Davies and Dag Terje Filip Endresen and Maria Alejandra Gandolfo and Robert H. Hanner and Alyssa Janning and Leonard Krishtalka and Andr{\'e}a M. Matsunaga and Peter E. Midford and Norman Morrison and {\'E}amonn {\'O} Tuama and Mark Schildhauer and Barry Smith and Brian J. Stucky and Andrea K. Thomer and John Wieczorek and Jamie Whitacre and John C. Wooley}, booktitle={PloS one}, year={2014} }