Determining Automatically the Size of Learned Ontologies

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Determining the size of an ontology that is automatically learned from texts is an open issue. In this paper, we study the similarity between ontology concepts at different levels of a taxonomy, quantifying in a natural manner the quality of the ontology attained. Our approach is integrated in a method for language-neutral learning of ontologies from texts, which relies on conditional independence tests over thematic topics that are discovered using LDA.

Elias Zavitsanos, Sergios Petridis, Georgios Palio

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Artificial Intelligence | ECAI 2008 | Ontology | Ontology Concepts | Open Issue |

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Added	19 Oct 2010
Updated	19 Oct 2010
Type	Conference
Year	2008
Where	ECAI
Authors	Elias Zavitsanos, Sergios Petridis, Georgios Paliouras, George A. Vouros

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Determining Automatically the Size of Learned Ontologies

Artificial Intelligence | ECAI 2008 | Ontology | Ontology Concepts | Open Issue |

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