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EWMF
2005
Springer

Semi-automatic Construction of Topic Ontologies

9 years 3 months 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 into a system for semiautomatic topic ontology construction. The OntoGen system offers support to the user during the construction process by suggesting topics and analyzing them in real time. It suggests names for the topics in two alternative ways both based on extracting keywords from a set of documents inside the topic. The first set of descriptive keyword is extracted using document centroid vectors, while the second set of distinctive keyword is extracted from the SVM classification model dividing documents in the topic from the neighboring documents.
Blaz Fortuna, Dunja Mladenic, Marko Grobelnik
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where EWMF
Authors Blaz Fortuna, Dunja Mladenic, Marko Grobelnik
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