Making species checklists understandable to machines - a shift from relational databases to ontologies.

ABSTRACT:

Background

The scientific names of plants and animals play a major role in Life Sciences as information is indexed, integrated, and searched using scientific names. The main problem with names is their ambiguous nature, because more than one name may point to the same taxon and multiple taxa may share the same name. In addition, scientific names change over time, which makes them open to various interpretations. Applying machine-understandable semantics to these names enables efficient processing of biological content in information systems. The first step is to use unique persistent identifiers instead of name strings when referring to taxa. The most commonly used identifiers are Life Science Identifiers (LSID), which are traditionally used in relational databases, and more recent

SUBMITTER: Laurenne N 

PROVIDER: S-EPMC4417522 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature