Background Knowledge for Ontology Construction
Blaz Fortuna, Marko Grobelnik and Dunja Mladenić
In: WWW 2006, 23-26 May 2006, Edinburgh, Scotland.
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.