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JCIT
2008
173views more  JCIT 2008»
13 years 6 months ago
A Multilevel Semantic Document Classifier Based On SVM Integrated With Domain Ontologies
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...
Vijayasundaram Uma, Punnaivanam Sankar, Gnanasekar...
ISI
2005
Springer
14 years 9 days ago
Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content
Experiments were conducted to test several hypotheses on methods for improving document classification for the malicious insider threat problem within the Intelligence Community. ...
Ozgur Yilmazel, Svetlana Symonenko, Niranjan Balas...
AIMSA
2006
Springer
13 years 10 months ago
A Proposal for Annotation, Semantic Similarity and Classification of Textual Documents
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...
Emmanuel Nauer, Amedeo Napoli
EWMF
2005
Springer
14 years 10 days ago
Semi-automatic Construction of Topic Ontologies
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...
Blaz Fortuna, Dunja Mladenic, Marko Grobelnik
DEXA
2009
Springer
173views Database» more  DEXA 2009»
14 years 1 months ago
Incremental Ontology-Based Extraction and Alignment in Semi-structured Documents
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 ...
Mouhamadou Thiam, Nacéra Bennacer, Nathalie...