Enhancing the Curation of Botanical Data Using Text Analysis Tools

Clare Llewellyn, Claire Grover, Jon Oberlander, Elspeth Haston

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

Abstract

Automatic text analysis tools have signicant potential to
improve the productivity of those who organise large collections of data.
However, to be eective, they have to be both technically ecient and
provide a productive interaction with the user. Geographic referencing
of historical botanical data is dicult, time consuming and relies heavily
on the expertise of the curators. Botanical specimens that have poor
quality labelling are often disregarded and the information is lost. This
work highlights how the use of automated analysis methods can be used
to assist in the curation of a botanical specimen library. A prototype
tool has been built which allows users to interact with automatically
generated geographical locations in order to identify where a botanical
plant specimen was collected. An evaluation study provides a comparison
of this tool with the traditional methods currently used.
Original languageEnglish
Title of host publicationTheory and Practice of Digital Libraries
Subtitle of host publicationSecond International Conference, TPDL 2012, Paphos, Cyprus, September 23-27, 2012. Proceedings
EditorsPanayiotis Zaphiris, George Buchanan, Edie Rasmussen, Fernando Loizides
PublisherSpringer Berlin Heidelberg
Pages480-485
Number of pages6
ISBN (Electronic)978-3-642-33290-6
ISBN (Print)978-3-642-33289-0
DOIs
Publication statusPublished - 2012

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume7489
ISSN (Print)0302-9743

Keywords

  • text analysis
  • text mining
  • geographical location
  • assisted curation
  • botany

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