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Literature-driven curation for taxonomic name databases
Yang, H.; Willis, A.; Morse, D.R.; de Roeck, A. (2013). Literature-driven curation for taxonomic name databases, in: Proceedings of the Joint Workshop on NLP&LOD and SWAIE: Semantic Web, Linked Open Data and Information Extraction. pp. 25-32
In: (2013). Proceedings of the Joint Workshop on NLP&LOD and SWAIE: Semantic Web, Linked Open Data and Information Extraction. INCOMA Ltd: Bulgaria. ISBN 978-954-452-025-0. x, 51 pp., more
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Document type: Conference paper
Authors  Top 
  • Yang, H.
  • Willis, A.
  • Morse, D.R.
  • de Roeck, A.
Abstract
    Digitized biodiversity literature provides a wealth of content for using biodiversity knowledge by machines. However, identifying taxonomic names and the associated semantic metadata is a difficult and labour intensive process. We present a system to support human assisted creation of semantic metadata. Information extraction techniques automatically identify taxonomic names from scanned documents. They are then presented to users for manual correction or verification. The tools that support the curation process include taxonomic name identification and mapping, and community driven taxonomic name verification. Our research shows the potential for these information extraction techniques to support research and curation in disciplines dependent upon scanned documents.
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