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Oznake: computer science;big data;semantic web
In the context of Semantic Web, one of the most important issues related to the class-membership prediction task (through inductive models) on ontological knowledge bases concerns the imbalance of the training examples distribution, mostly due to the heterogeneous nature and the incompleteness o ...
Leto: 2015 Vir: videolectures.net
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Oznake: computer science;big data;semantic web
Despite the benefits deriving from explicitly modeling concept disjointness to increase the quality of the ontologies, the number of disjointness axioms in vocabularies for the Web of Data is still limited, thus risking to leave important constraints underspecified. Automated methods for discovering ...
Leto: 2017 Vir: videolectures.net
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