Resolving Taxonomic Names using Evidence Extracted from Text

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

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

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

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

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.

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