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Literature-driven Curation for Taxonomic Name Databases

Yang, Hui; Willis, Alistair; Morse, David and De Roeck, Anne (2013). Literature-driven Curation for Taxonomic Name Databases. In: The Second Semantic Web and Information Extraction Workshop (SWAIE'13), 12 Sep 2013, Hissa, Bulgaria.

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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 auto-matically 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 extrac-tion techniques to support research and curation in disciplines dependent upon scanned documents

Item Type: Conference or Workshop Item
Copyright Holders: 2013 Open University
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
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Item ID: 38528
Depositing User: Hui Yang
Date Deposited: 20 Sep 2013 14:39
Last Modified: 15 Sep 2018 16:02
URI: http://oro.open.ac.uk/id/eprint/38528
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