TY - GEN
T1 - Design and use of NOMEN, an ontology defining the rules of biological nomenclature
AU - Yoder, Matthew
AU - Dmitriev, Dmitry
AU - Pereira, José Luis
AU - Cigliano, Maria Marta
N1 - Copyright 2017 Matthew Yoder, Dmitry Dmitriev, José Luis Pereira, Maria Marta Cigliano
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - INHS
UR - https://tdwgproceedings.pensoft.net/articles.php?id=20284
U2 - 10.3897/tdwgproceedings.1.20284
DO - 10.3897/tdwgproceedings.1.20284
M3 - Conference contribution
VL - 1
SP - e20284
BT - Proceedings of TDWG
ER -