Introduction
 

Using semantic features (e.g. hypernyms, meronyms, synonyms, etc.) commonly represented in ontology languages, subsumption inference can be used to reason about document content at conceptually higher levels than statistical methods. We consider such an approach to text analysis by using upper and lower ontologies.

 
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