Datalog+- Ontology Consolidation

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Datalog+- Ontology Consolidation

Knowledge bases in the form of ontologies are receiving increasing attention as they allow to clearly represent both the available knowledge, which includes the knowledge in itself and the constraints imposed to it by the domain or the users. In particular, Datalog± ontologies are attractive because of their property of decidability and the possibility of dealing with the massive amounts of dat...

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Ontology Module Extraction via Datalog Reasoning

Module extraction—the task of computing a (preferably small) fragment M of an ontology T that preserves entailments over a signature Σ—has found many applications in recent years. Extracting modules of minimal size is, however, computationally hard, and often algorithmically infeasible. Thus, practical techniques are based on approximations, where M provably captures the relevant entailments, b...

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Datalog Rewritability of Disjunctive Datalog Programs and its Applications to Ontology Reasoning

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ژورنال

عنوان ژورنال: Journal of Artificial Intelligence Research

سال: 2016

ISSN: 1076-9757

DOI: 10.1613/jair.5131