Dynamic iterative ontology learning

Brewster, Christopher; Iria, José; Zhang, Ziqi; Ciravegna, Fabio; Guthrie, Louise and Wilks, Yorick (2007). Dynamic iterative ontology learning. IN: 6th International Conference on Recent Advances in Natural Language Processing. 2007-09-27 - 2007-09-29.

Abstract

The fundamental failure of current approaches to ontology learning is to view it as single pipeline with one or more specific inputs and a single static output. In this paper, we present a novel approach to ontology learning which takes an iterative view of knowledge acquisition for ontologies. Our approach is founded on three open-ended resources: a set of texts, a set of learning patterns and a set of ontological triples, and the system seeks to maintain these in equilibrium. As events occur which disturb this equilibrium, actions are triggered to re-establish a balance between the resources. We present a gold standard based evaluation of the final output of the system, the intermediate output showing the iterative process and a comparison of performance using different seed input. The results are comparable to existing performance in the literature.

Divisions: Aston Business School > Operations & information management research group
Aston Business School > Operations & information management
Event Title: 6th International Conference on Recent Advances in Natural Language Processing
Event Type: Other
Event Dates: 2007-09-27 - 2007-09-29
Uncontrolled Keywords: failure,ontology learning,knowledge acquisition
Published Date: 2007

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