Stephan Bloehdorn, P. Cimiano, A. Hotho, Steffen Staab
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引用次数: 63
Abstract
Structuring of text document knowledge frequently appears either by ontologies and metadata or by automatic (un-)unsupervised text categorization. This paper describes our integrated framework OTTO (OnTology-based Text mining framewOrk). OTTO uses text mining to learn the target ontology from text documents and uses then the same target ontology in order to improve the effectiveness of both supervised and unsupervised text categorization approaches.
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