Published September 23, 2021 | Version v1
Journal article Open

Synospecies, an application to reflect changes in taxonomic names based on a triple store based on taxonomic data liberated from publication

  • 1. Factsmission, Biel, Switzerland
  • 2. Plazi, Bern, Switzerland|Plazi, Bern, Switzerland

Description

Taxonomic treatments, sections of publications documenting the features or distribution of a related group of organisms (called a "taxon", plural "taxa") in ways adhering to highly formalized conventions, and published in scientific journals, shape our understanding of global biodiversity (Catapano 2019).

Treatments are the building blocks of the evolving scientific consensus on taxonomic entities. The semantics of these treatments and their relationships are highly structured: taxa are introduced, merged, made obsolete, split, renamed, associated with specimens and so on. Plazi makes this content available in machine-readable form using Resource Description Framework (RDF)  . RDF is the standard model for Linked Data and the Semantic Web. RDF can be exchanged in different formats (aka concrete syntaxes) such as RDF/XML or Turtle. The data model describes graph structures and relies on Internationalized Resource Identifiers (IRIs)  , ontologies such as Darwin Core basic vocabulary   are used to assign meaning to the identifiers. For Synospecies, we unite all treatments into one large knowledge graph, modelling taxonomic knowledge and its evolution with complete references to quotable treatments. However, this knowledge graph expresses much more than any individual treatment could convey because every referenced entity is linked to every other relevant treatment. On synospecies.plazi.org, we provide a user-friendly interface to find the names and treatments related to a taxon. An advanced mode allows execution of queries using the SPARQL query language. 

Files

BISS_article_75641.pdf

Files (66.7 kB)

Name Size Download all
md5:c826a16d2403e88d62033a051b4950db
66.7 kB Preview Download

System files (10.1 kB)

Name Size Download all
md5:263ff077c0c6b1fbeb3e0077a7acd52e
10.1 kB Download

Linked records