PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

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

Abstract

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.

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EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Information Retrieval & Textual Information Access
ID Code:2420
Deposited By:Blaz Fortuna
Deposited On:22 November 2006