An incremental tri-partite approach to ontology learning

Abstract

In this paper we present a new approach to ontology learning. Its basis lies in a dynamic and iterative view of knowledge acquisition for ontologies. The Abraxas approach is founded on three resources, a set of texts, a set of learning patterns and a set of ontological triples, each of which must remain in equilibrium. As events occur which disturb this equilibrium various actions are triggered to re-establish a balance between the resources. Such events include acquisition of a further text from external resources such as the Web or the addition of ontological triples to the ontology. We develop the concept of a knowledge gap between the coverage of an ontology and the corpus of texts as a measure triggering actions. We present an overview of the algorithm and its functionalities.

Divisions: Aston Business School > Operations & Information Management
Aston Business School
Event Title: 5th international conference on Language Resources and Evaluation
Event Type: Other
Event Dates: 2006-05-22 - 2006-05-28
Uncontrolled Keywords: ontology learning
PURE Output Type: Conference contribution
Published Date: 2006-05
Authors: Iria, José
Brewster, Christopher ( 0000-0001-6594-9178)
Ciravegna, Fabio
Wilks, Yorick

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Version: Accepted Version


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