webLyzard Publications

Confidence Management for Learning Ontologies from Dynamic Web Sources

Wohlgenannt, Gerhard and Weichselbraun, Albert and Scharl, Arno and Sabou, Marta (2012) Confidence Management for Learning Ontologies from Dynamic Web Sources. In: Proceedings of the 4th International Conference on Knowledge Engineering and Ontology Development (KEOD 2012), 4-7 October 2012, Barcelona, Spain.

PDF ( Confidence Management for Learning Ontologies from Dynamic Web Sources) - Accepted Version


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

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:ontology dynamics, confidence management, ontology learning, evidence integration, trend detection
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:58
Deposited By: Dr Albert Weichselbraun
Deposited On:20 Oct 2012 08:58
Last Modified:20 Oct 2012 08:58

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