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20212026
most citedTowards Ontology Construction with Language Models

6 citations · 18 across the 13 of their papers we have counts for

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cs.AI2026

Bounded Fitting for Expressive Description Logics

Maurice Funk, Jean Christoph Jung, Tom Voellmer

Bounded fitting is an attractive paradigm for learning logical formulas from labeled data examples that offers PAC-style generalization guarantees and can often be implemented leve…

cs.AI2025

Fitting Description Logic Ontologies to ABox and Query Examples

Maurice Funk, Marvin Grosser, Carsten Lutz

We study a fitting problem inspired by ontology-mediated querying: given a collection of positive and negative examples of the form with an ABox and…

cs.AI2025

SAT-Based Bounded Fitting for the Description Logic ALC

Maurice Funk, Jean Christoph Jung, Tom Voellmer

Bounded fitting is a general paradigm for learning logical formulas from positive and negative data examples, that has received considerable interest recently. We investigate bound…

cs.AI2023★ 6 cited

Towards Ontology Construction with Language Models

Maurice Funk, Simon Hosemann, Jean Christoph Jung +1

We present a method for automatically constructing a concept hierarchy for a given domain by querying a large language model. We apply this method to various domains using OpenAI's…

cs.AI2023★ 4 cited

SAT-Based PAC Learning of Description Logic Concepts

Balder ten Cate, Maurice Funk, Jean Christoph Jung +1

We propose bounded fitting as a scheme for learning description logic concepts in the presence of ontologies. A main advantage is that the resulting learning algorithms come with t…

cs.AI2022★ 2 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…