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Title:Resolving Taxonomic Names using Evidence Extracted from Text
Author(s):Cao, Yujie; Franz, Nico; Macklin, James; Mao, Jin; Cui, Hong
Subject(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.
Issue Date:2018
Publisher:iSchools
Series/Report:iConference 2018 Proceedings
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/100260
Rights 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.
Date Available in IDEALS:2018-07-12


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