University of Illinois Urbana-Champaign

Resolving Taxonomic Names using Evidence Extracted from Text

Cao, Yujie; Franz, Nico; Macklin, James; Mao, Jin; Cui, Hong

Content Files
Cao-Yujie_20180416_V01.pdf

Permalink

https://hdl.handle.net/2142/100260

Description

Title
Resolving Taxonomic Names using Evidence Extracted from Text
Author(s)
  • Cao, Yujie
  • Franz, Nico
  • Macklin, James
  • Mao, Jin
  • Cui, Hong
Issue Date
2018
Keyword(s)
  • text mining
  • taxon concepts
  • variations in taxonomic descriptions
  • natural language processing
  • science informatics
Date of Ingest
2018-07-12T15:37:18Z
Abstract
Biological taxonomy is established on organism relationships with scientific names as the primary identifiers; however, resolving various taxonomic names remains one of the greatest challenges in taxonomy and systematic biology overall. We proposed an evidence-based approach that extracts trait (character) evidence from published literature to facilitate the comparison of taxonomic concepts. In this poster, we report an initial set of results from our first case study using the plant genus Rubus. The case study tested the entire pipeline of the Explorer of Taxon Concepts toolkit we have developed and revealed challenging phenomena to be solved in the near future.
Publisher
iSchools
Series/Report Name or Number
iConference 2018 Proceedings
Type of Resource
text
Genre of Resource
Conference Poster
Language
eng
Permalink
http://hdl.handle.net/2142/100260
Copyright and License Information
Copyright 2018 is held by Yujie Cao, Nico Franz, James Macklin, Jin Mao, Hong Cui. Copyright permissions, when appropriate, must be obtained directly from the authors.

Owning Collections

iConference 2018 Poster Descriptions PRIMARY