An incremental tri-partite approach to ontology learning

José Iria, Christopher Brewster, Fabio Ciravegna, Yorick Wilks

Research output: Chapter in Book/Published conference outputConference publication


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.
Original languageEnglish
Title of host publication[Proceedings of the 5th edition of the international conference on language resources and evaluation]
Number of pages6
Publication statusPublished - May 2006
Event5th international conference on Language Resources and Evaluation - Genoa , Italy
Duration: 22 May 200628 May 2006


Conference5th international conference on Language Resources and Evaluation
Abbreviated titleLREC 2006


  • ontology learning


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