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Altering document term vectors for classification: ontologies as expectations of co-occurrence

9 years 11 months ago
Altering document term vectors for classification: ontologies as expectations of co-occurrence
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. Categories and Subject Descriptors ontent Analysis and Indexing]: Abstracting methods, Dictionaries, Indexing methods, Linguistic processing, Thesauruses General Terms Design, Experimentation Keywords Supervised Document Classification, Background domain knowledge, Vector Space Models, Ranking semantic relationships
Meenakshi Nagarajan, Amit P. Sheth, Marcos Kawazoe
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2007
Where WWW
Authors Meenakshi Nagarajan, Amit P. Sheth, Marcos Kawazoe Aguilera, Kimberly Keeton, Arif Merchant, Mustafa Uysal
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