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20172022
most citedFrontiers and Exact Learning of ELI Queries under DL-Lite Ontologies

2 citations · 3 across the 6 of their papers we have counts for

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cs.AI20222 cited

Frontiers and Exact Learning of ELI Queries under DL-Lite Ontologies

Maurice Funk, Jean Christoph Jung, Carsten Lutz

We study ELI queries (ELIQs) in the presence of ontologies formulated in the description logic DL-Lite. For the dialect DL-LiteH, we show that ELIQs have a frontier (set of least g…

cs.AI2021

Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies

Maurice Funk, Jean Christoph Jung, Carsten Lutz

We consider the problem to learn a concept or a query in the presence of an ontology formulated in the description logic ELr, in Angluin's framework of active learning that allows…

cs.AI2020

Conservative Extensions in Horn Description Logics with Inverse Roles

Jean Christoph Jung, Carsten Lutz, Mauricio Martel +1

We investigate the decidability and computational complexity of conservative extensions and the related notions of inseparability and entailment in Horn description logics (DLs) wi…

cs.AI2020

Separating Positive and Negative Data Examples by Concepts and Formulas: The Case of Restricted Signatures

Jean Christoph Jung, Carsten Lutz, Hadrien Pulcini +1

We study the separation of positive and negative data examples in terms of description logic (DL) concepts and formulas of decidable FO fragments, in the presence of an ontology. I…

cs.AI2018

Quantified Markov Logic Networks

Víctor Gutiérrez-Basulto, Jean Christoph Jung, Ondrej Kuzelka

Markov Logic Networks (MLNs) are well-suited for expressing statistics such as "with high probability a smoker knows another smoker" but not for expressing statements such as "ther…