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Ontology learning supports ontology engineers in the complex task of creating an ontology. Updating ontologies at regular intervals greatly increases the need for expensive expert contribution. This naturally leads to endeavors to automate the process wherever applicable. This paper presents a model for automated ontology learning and a prototype which demonstrates the feasibility of the proposed approach in learning lightweight domain ontologies. The system learns ontologies from heterogeneousdoi:10.5220/0004630504070412 dblp:conf/ic3k/WohlgenanntBS13 fatcat:2g43y7zcwbhvzoquogyqduclhu