Design and use of NOMEN, an ontology defining the rules of biological nomenclature

Matthew Yoder, Dmitry Dmitriev, José Luis Pereira, Maria Marta Cigliano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The most complex nomenclatural databases are developed not from community based efforts but from individuals who have encoded their understanding of the rules of nomenclature into bespoke knowledge-bases. In efforts spanning decades well over 75 types of “status” may to be defined for a single database. Reconciliation of these status types into new, federated systems is nearly always the most difficult aspect of their migration. Nomenclatural data is often recorded in a logically inconsistent manner, for example mixing governed rules and curator annotations. NOMEN (https://github.com/SpeciesFileGroup/nomen) is an Web Ontology Language (OWL) ontology that seeks to address these issues, providing standardized URIs for classes of nomenclatural annotations on taxonomic names (not taxonomic concepts). It includes assertions for the animal (ICZN), plant (ICN), and bacterial (ICNB) codes. NOMEN based assertions can be encoded in a simple graph format, as illustrated in its implementation in TaxonWorks (http://taxonworks.org). We illustrate its application within the migration process of four very large taxonomic databases., The most complex nomenclatural databases are developed not from community based efforts but from individuals who have encoded their understanding of the rules of nomenclature into bespoke knowledge-bases. In efforts spanning decades well over 75 types of “status” may to be defined for a single database. Reconciliation of these status types into new, federated systems is nearly always the most difficult aspect of their migration. Nomenclatural data is often recorded in a logically inconsistent manner, for example mixing governed rules and curator annotations. NOMEN (https://github.com/SpeciesFileGroup/nomen) is an Web Ontology Language (OWL) ontology that seeks to address these issues, providing standardized URIs for classes of nomenclatural annotations on taxonomic names (not taxonomic concepts). It includes assertions for the animal (ICZN), plant (ICN), and bacterial (ICNB) codes. NOMEN based assertions can be encoded in a simple graph format, as illustrated in its implementation in TaxonWorks (http://taxonworks.org). We illustrate its application within the migration process of four very large taxonomic databases.
Original languageEnglish (US)
Title of host publicationProceedings of TDWG
Pagese20284
Volume1
DOIs
StatePublished - 2017

Keywords

  • INHS

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