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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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