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.
Original language | English |
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Title of host publication | [Proceedings of the 5th edition of the international conference on language resources and evaluation] |
Pages | 197-202 |
Number of pages | 6 |
Publication status | Published - May 2006 |
Event | 5th international conference on Language Resources and Evaluation - Genoa , Italy Duration: 22 May 2006 → 28 May 2006 |
Conference
Conference | 5th international conference on Language Resources and Evaluation |
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Abbreviated title | LREC 2006 |
Country/Territory | Italy |
City | Genoa |
Period | 22/05/06 → 28/05/06 |
Keywords
- ontology learning