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Abstract
An approach is presented to the automatic discovery of labels of relations be- tween pairs of ontological classes. Using a hyperlinked encyclopaedic resource, we gather evidence for likely predicative la- bels by searching for sentences that de- scribe relations between terms. The terms are instances of the pair of ontological classes under consideration, drawn from a populated knowledge base. Verbs or verb phrases are automatically extracted, yielding a ranked list of candidate rela- tions. Human judges rate the extracted relations. The extracted relations provide a basis for automatic ontology discovery from a non-relational database. The ap- proach is demonstrated on a database from the natural history domain.



Presented by
Marieke van Erp, Antal van den Bosch, Sander Wubben, Steve Hunt
ILK Research Group
Tilburg centre for Creative Computing
Tilburg University
The Netherlands
{M.G.J.vanErp,Antal.vdnBosch,S.Wubben,S.J.Hunt}[at]uvt.nl