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FLAIRS
2007

Autonomous Classification of Knowledge into an Ontology

13 years 6 months ago
Autonomous Classification of Knowledge into an Ontology
Ontologies are an increasingly important tool in knowledge representation, as they allow large amounts of data to be related in a logical fashion. Current research is concentrated on automatically constructing ontologies, merging ontologies with different structures, and optimal mechanisms for ontology building; in this work we consider the related, but distinct, problem of how to automatically determine where to place new knowledge into an existing ontology. Rather than relying on human knowledge engineers to carefully classify knowledge, it is becoming increasingly important for machine learning techniques to automate such a task. Automation is particularly important as the rate of ontology building via automatic knowledge acquisition techniques increases. This paper compares three well-established machine learning techniques and shows that they can be applied successfully to this knowledge placement task. Our methods are fully implemented and tested in the Cyc knowledge base system...
Matthew E. Taylor, Cynthia Matuszek, Bryan Klimt,
Added 02 Oct 2010
Updated 02 Oct 2010
Type Conference
Year 2007
Where FLAIRS
Authors Matthew E. Taylor, Cynthia Matuszek, Bryan Klimt, Michael J. Witbrock
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