Confidence Management for Learning Ontologies from Dynamic Web Sources

Gerhard Wohlgenannt, Albert Weichselbraun, Arno Scharl, Marta Sabou

2012

Abstract

Dynamic environments require effective update mechanisms for ontologies to incorporate new knowledge. In this position paper we present a dynamic framework for ontology learning which integrates automated learning methods with rapid user feedback mechanism to build and extend lightweight domain ontologies at regular intervals. Automated methods collect evidence from a variety of heterogeneous sources and generate an ontology with spreading activation techniques, while crowdsourcing in the form of Games with a Purpose validates the new ontology elements. Special data structures support dynamic confidence management in regards to three major aspects of the ontology: (i) the incoming facts collected from evidence sources, (ii) the relations that constitute the extended ontology, and (iii) the observed quality of evidence sources. Based on these data structures we propose trend detection experiments to measure not only significant changes in the domain, but also in the conceptualization suggested by user feedback.

Paper Citation

in Harvard Style

Wohlgenannt G., Weichselbraun A., Scharl A. and Sabou M. (2012). Confidence Management for Learning Ontologies from Dynamic Web Sources . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012) ISBN 978-989-8565-30-3, pages 172-177. DOI: 10.5220/0004111101720177

in Bibtex Style

@conference{keod12,
author={Gerhard Wohlgenannt and Albert Weichselbraun and Arno Scharl and Marta Sabou},
title={Confidence Management for Learning Ontologies from Dynamic Web Sources},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)},
year={2012},
pages={172-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004111101720177},
isbn={978-989-8565-30-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)
TI - Confidence Management for Learning Ontologies from Dynamic Web Sources
SN - 978-989-8565-30-3
AU - Wohlgenannt G.
AU - Weichselbraun A.
AU - Scharl A.
AU - Sabou M.
PY - 2012
SP - 172
EP - 177
DO - 10.5220/0004111101720177