An incremental tri-partite approach to ontology learning


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: College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences > Aston Business School
Event Title: 5th international conference on Language Resources and Evaluation
Event Type: Other
Event Dates: 2006-05-22 - 2006-05-28
Last Modified: 29 Nov 2023 13:50
Date Deposited: 29 Oct 2009 11:43
PURE Output Type: Conference contribution
Published Date: 2006-05
Authors: Iria, José
Brewster, Christopher
Ciravegna, Fabio
Wilks, Yorick



Version: Accepted Version

Export / Share Citation


Additional statistics for this record