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20162023
most citedLearning Description Logic Ontologies. Five Approaches. Where Do They Stand?

19 citations · 52 across the 21 of their papers we have counts for

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6 papers · 1 filter

cs.AI2022

Finding Common Ground for Incoherent Horn Expressions

Ana Ozaki, Anum Rehman, Philip Turk +1

Autonomous systems that operate in a shared environment with people need to be able to follow the rules of the society they occupy. While laws are unique for one society, different…

cs.AI2021★ 19 cited

Learning Description Logic Ontologies. Five Approaches. Where Do They Stand?

Ana Ozaki

The quest for acquiring a formal representation of the knowledge of a domain of interest has attracted researchers with various backgrounds into a diverse field called ontology lea…

cs.AI2021

On the Complexity of Learning Description Logic Ontologies

Ana Ozaki

Ontologies are a popular way of representing domain knowledge, in particular, knowledge in domains related to life sciences. (Semi-)automating the process of building an ontology h…

cs.AI2020

Automated Reasoning in Temporal DL-Lite

Sabiha Tahrat, German Braun, Alessandro Artale +2

This paper investigates the feasibility of automated reasoning over temporal DL-Lite (TDL-Lite) knowledge bases (KBs). We test the usage of off-the-shelf LTL reasoners to check sat…

cs.AI2019★ 3 cited

Learning Query Inseparable ELH Ontologies

Ana Ozaki, Cosimo Persia, Andrea Mazzullo

We investigate the complexity of learning query inseparable ELH ontologies in a variant of Angluin's exact learning model. Given a fixed data instance A* and a query language Q, we…

cs.AI2019★ 2 cited

Learning Ontologies with Epistemic Reasoning: The EL Case

Ana Ozaki, Nicolas Troquard

We investigate the problem of learning description logic ontologies from entailments via queries, using epistemic reasoning. We introduce a new learning model consisting of epistem…