Poster Title:
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 and reveals patterns indicating the usefulness of such background knowledge.