ACM Computing Surveys (CSUR)
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
RCV1: A New Benchmark Collection for Text Categorization Research
The Journal of Machine Learning Research
Overview and semantic issues of text mining
ACM SIGMOD Record
A Methodology for Ontology Learning
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
OntoGen: semi-automatic ontology editor
Proceedings of the 2007 conference on Human interface: Part II
Semi-automatic construction of topic ontologies
EWMF'05/KDO'05 Proceedings of the 2005 joint international conference on Semantics, Web and Mining
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In this paper we describe a solution for incorporating background knowledge into the OntoGen system for semi-automatic ontology construction. This makes it easier for different users to construct different and more personalized ontologies for the same domain. To achieve this we introduce a word weighting schema to be used in the document representation. The weighting schema is learned based on the background knowledge provided by user. It is than used by OntoGen's machine learning and text mining algorithms.