Million Plant Map: Difference between revisions

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(Created page with ""Lauren M. Gardiner" <lmg32@cam.ac.uk> Cambridge University Herbarium The University of Cambridge Herbarium has over a million specimens, many with alternative names and...")
 
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"Lauren M. Gardiner" <lmg32@cam.ac.uk>
Lauren Gardiner, [[Cambridge University Herbarium]] <lmg32@cam.ac.uk>


[[Cambridge University Herbarium]]
The University of Cambridge Herbarium has over a million specimens (including nearly 1000 personally collected by Charles Darwin). Many of these have alternative names and classifications. Public resources such as theplantlist.org have brought together a consensus list of names and their alternatives, but many specimens are stored under their old names. Your task is to use machine learning methods to optimise the indexing of the Herbarium specimens, provide simpler and more intuitive retrieval, and visualise the relationships between parts of the collection, using data from their databases, theplantlist.org and other scientific resources.
 
The University of Cambridge Herbarium has over a million specimens, many with alternative names and classifications. Public resources such as theplantlist.org have attempted to crowd-source a thesaurus of equivalent names, but finding a particular specimen is still a task best attempted by specialists. Your task is to use machine learning methods to optimise the indexing of the Herbarium specimens, provide simpler and more intuitive retrieval, and visualise the relationships between parts of the collection, using data from their databases, theplantlist.org and other scientific resources.

Latest revision as of 19:08, 9 November 2018

Lauren Gardiner, Cambridge University Herbarium <lmg32@cam.ac.uk>

The University of Cambridge Herbarium has over a million specimens (including nearly 1000 personally collected by Charles Darwin). Many of these have alternative names and classifications. Public resources such as theplantlist.org have brought together a consensus list of names and their alternatives, but many specimens are stored under their old names. Your task is to use machine learning methods to optimise the indexing of the Herbarium specimens, provide simpler and more intuitive retrieval, and visualise the relationships between parts of the collection, using data from their databases, theplantlist.org and other scientific resources.