PAGOdA: Pay-As-You-Go query answering using a datalog reasoner

PAGOdA: Pay-As-You-Go query answering using a datalog reasoner

Answering conjunctive queries over ontology-enriched datasets is a core reasoning task for many applications. Query answering is, however, computationally very expensive, which has led to the development of query answering procedures that sacrifice either expressive power of the ontology language, o...

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Manylion Llyfryddiaeth
Prif Awduron:	Zhou, Y, Cuenca Grau, B, Nenov, Y, Kaminski, M, Horrocks, I
Fformat:	Journal article
Cyhoeddwyd:	AI Access Foundation 2015

Eitemau Tebyg

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Conjunctive Query Answering in Probabilistic Datalog+⁄− Ontologies
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Conjunctive Query Answering in Probabilistic Datalog+/- Ontologies.
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Group Preferences for Query Answering in Datalog+⁄− Ontologies
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Preference−Based Query Answering in Datalog+⁄− Ontologies
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Complexity of Inconsistency−Tolerant Query Answering in Datalog+⁄−
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Complexity of Inconsistency−Tolerant Query Answering in Datalog+⁄−
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Reasoning over streaming data in metric temporal datalog
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Module extraction in expressive ontology languages via datalog reasoning
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Complete Query Answering Over Horn Ontologies Using a Triple Store
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Complete Query Answering over Horn Ontologies Using a Triple Store.
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Reasoning techniques in DatalogMTL
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Preference−Based Query Answering in Probabilistic Datalog+⁄− Ontologies
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Preference−Based Query Answering in Probabilistic Datalog+⁄− Ontologies
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Query Answering under Non−guarded Rules in Datalog+/−
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Complexity of approximate query answering under inconsistency in datalog+/-
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Query Answering under Probabilistic Uncertainty in Datalog+⁄− Ontologies
gan: Gottlob, G, et al.
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Complexity of approximate query answering under inconsistency in Datalog+/-
gan: Lukasiewicz, T, et al.
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Small Datalog Query Rewritings for EL
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The complexity and expressive power of limit Datalog
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Stratified negation in limit datalog programs
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