Book Review: Ontology Learning from Text: Methods, Evaluation and Applications, edited by Paul Buitelaar, Philipp Cimiano and Bernado Magnini

By Christopher Arthur Brewster. International Conference on Computational Logic, 2005

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Kernel Methods for Mining Instance Data in Ontologies (2007, background): “Research has actively addressed the problem of learning knowledge structures – mostly from text data – for the Semantic Web, a field commonly referred to as Ontology Learning [3].”
Semantic Taxonomy Induction from Heterogenous Evidence (2006, background): “Past work on semantic taxonomy induction includes the noun hypernym hierarchy created in (Caraballo, 2001), the part-whole taxonomies in (Girju, 2003), and a great deal of recent work described in (Buitelaar et al., 2005).”
Deriving a Large-Scale Taxonomy from Wikipedia (2007, background): “However, the learned ontologies are small and mostly domain dependent, and evaluations have revealed a rather poor performance (see Buitelaar et al. (2005) for an extensive overview).”