Document Type
Presentation
Publication Date
5-8-2007
Abstract
In this paper we extend the state-of-the-art in utilizing background knowledge for supervised classification by exploiting the semantic relationships between terms explicated in Ontologies. Preliminary evaluations indicate that the new approach generally improves precision and recall, more so for hard to classify cases and reveals patterns indicating the usefulness of such background knowledge.
Repository Citation
Nagarajan, M.,
Sheth, A. P.,
Aguilera, M.,
Keeton, K.,
Merchant, A.,
& Uysal, M.
(2007). Altering Document Term Vectors for Classification - Ontologies as Expectations of Co-occurrence. .
https://corescholar.libraries.wright.edu/knoesis/29
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Comments
Poster presented at the 16th World Wide Web Conference (WWW2007) in Banff, Canada, May 8-12, 2007.