A multilevel semantic document classification system based on Support Vector Machine (SVM) in association with domain ontologies has been developed. The documents related to the s...
Experiments were conducted to test several hypotheses on methods for improving document classification for the malicious insider threat problem within the Intelligence Community. ...
Abstract. In this paper, we present an approach for classifying documents based on the notion of a semantic similarity and the effective representation of the content of the docume...
In this paper, we review two techniques for topic discovery in collections of text documents (Latent Semantic Indexing and K-Means clustering) and present how we integrated them in...
SHIRI 1 is an ontology-based system for integration of semistructured documents related to a specific domain. The system’s purpose is to allow users to access to relevant parts ...