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

Authors:
Meenakshi Nagarajan;Amit Sheth;Marcos Aguilera;Kimberly Keeton;Arif Merchant;Mustafa Uysal
Affiliations:
Wright State University, Dayton, OH;Wright State University, Dayton, OH;Hewlett Packard Labs, Palo Alto, CA;Hewlett Packard Labs, Palo Alto, CA;Hewlett Packard Labs, Palo Alto, CA;Hewlett Packard Labs, Palo Alto, CA
Venue:
Proceedings of the 16th international conference on World Wide Web
Year:
2007

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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.