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Automated Ontology Learning and Validation Using Hypothesis Testing

Granitzer, Michael and Scharl, Arno and Weichselbraun, Albert and Neidhart, Thomas and Juffinger, Andreas and Wohlgenannt, Gerhard (2007) Automated Ontology Learning and Validation Using Hypothesis Testing. In: Advances in Intelligent Web Mastering. Advances in Soft Computing, 43 . Springer, Berlin-Heidelberg, pp. 130-135.

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Official URL: http://www.springerlink.com/content/78683h15146x37...

Abstract

Semantic Web technologies in general and ontology-based approaches in particular are considered the foundation for the next generation of information services. While ontologies enable software agents to exchange knowledge and information in a standardized, intelligent manner, describing today's vast amount of information in terms of ontological knowledge remains a challenge. In this paper we describe the research project AVALON - Acquisition and VALidation of ONtologies, which aims at reducing the knowledge acquisition bottleneck by using methods from ontology learning in the context of a cybernetic control system. We will present techniques allowing us to automatically extract knowledge from textual data and formulating hypothesis based upon the extracted knowledge. Based on real world indicators, like for example business numbers, hypotheses are validated and the result is fed back into the system, thereby closing the cybernetic control system¿s feedback loop. While AVALON is currently under development, we will present intermediate results and the basic idea behind the system.

Item Type:Book Section
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
ID Code:45
Deposited By: Dr Albert Weichselbraun
Deposited On:16 Apr 2012 07:06
Last Modified:16 Apr 2012 07:06

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