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Title:
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MINING RULES IN THE ONTO4AR FRAMEWORK FOR UPDATING DOMAIN ONTOLOGIES |
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Author(s):
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Cláudia Antunes |
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ISBN:
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978-972-8924-40-9 |
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Editors:
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Jörg Roth, Jairo Gutiérrez and Ajith P. Abraham (series editors: Piet Kommers, Pedro Isaías and Nian-Shing Chen) |
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Year:
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2007 |
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Edition:
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Single |
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Keywords:
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Data mining framework, Association rules, Constrained Pattern mining, Ontologies, Ontology learning. |
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Type:
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Full Paper |
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First Page:
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95 |
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Last Page:
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101 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Despite the efforts on the area of knowledge management, the building and maintenance of ontologies continues to be
almost a manual task. In the last years its automation has been pursuit, but the large number of discovered rules, in the
context of pattern mining, has impaired its success, namely for representing the relationships among concepts.
In this paper, we propose the use of the Onto4AR framework for discovering unknown rules, and present a semiautomatic
methodology for adding those discovered rules to a domain ontology. This enrichment is controlled by domain
experts that incorporate their knowledge (represented by an ontology) into the framework, and control the mining process
in accordance to their expectations, by making use of several categories of constraints. The reduced number of discovered
rules can then be analyzed and added to the ontology. |
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