Mining query-logs towards learning useful kick-off ontologies: an incentive to semantic web content creation

The aim of the paper is to present an ontology learning method that automatically (unsupervised) builds useful kick-off ontologies from query logs. We introduce tasks related to the proposed method in all phases of an ontology engineering lifecycle, extending human-centred and collaborative engineering methodologies for devising continuously evolving ontologies such as the human centred ontology engineering methodology (HCOME). Users, both...