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- W2407128366 abstract "Though ontology learning can help ontology engineers in creating ontologies more rapidly, it also poses new challenges to them especially in creating coherent, high-quality ontologies. Given that there have been proposed ontology learning approaches which are even supporting the generation of highly expressive schemas, the need for pushing debugging methods for such schemas further also arises. Throughout the literature, several methods applicable for ontology debugging were presented which might be well-suited for being used on learned ontologies. Thus, in this work, we describe some of these approaches, and also present an approach based on Markov logic networks which is inspired by recent work in this direction and which we adapted to learned ontologies. Afterwards, we evaluate the approaches regarding their runtime performance on learned ontologies and their suitability for automatic and semi-automatic debugging of learned ontologies." @default.
- W2407128366 created "2016-06-24" @default.
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- W2407128366 date "2014-01-01" @default.
- W2407128366 modified "2023-09-27" @default.
- W2407128366 title "Repairing Learned Ontologies." @default.
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