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Approaches to Semantic Markup for Natural Heritage

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Title: Approaches to Semantic Markup for Natural Heritage
Author(s): Cui, Hong
Subject(s): Semantic markup natural heritage literature taxonomic descriptions biodiversity information biodiversity informatics supervised machine learning unsupervised machine learning XML
Abstract: The theme of this paper is the application of automated semantic markup techniques on natural heritage literature to address information needs of taxonomists. Two machine learning based techniques (supervised and unsupervised machine learning) are discussed and compared on a real world corpus. A prototype application that supports batch and online modes of converting free text documents to XML format is described.
Issue Date: 2008-02-28
Genre: Conference Paper / Presentation
Type: Text
URI: http://hdl.handle.net/2142/15094
Date Available in IDEALS: 2010-03-04
 

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