Abstract
Today, the development of the semantic web is heavily impacted by the knowledge acquisition bottleneck. To address this problem, the discovery of conceptual structures have to become automatic. In addition, it has to guarantee that these structures are socially-constructed and consensually-shared in accordance with the requirements for designing ontologies. In this research, we present a process to automatically discover ready-made cultural knowledge structures from texts fitting the needs of ontology engineering. Relying on a framework coming from cognitive anthropology, we designed the latter to identify hypernym/hyponym relations. During our experiment we obtained a promising 92.46% precision.
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