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20172022
most citedLearning Description Logic Ontologies. Five Approaches. Where Do They Stand?

19 citations · 43 across the 10 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.AI202119 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

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.AI20192 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…