activity
20062023
most citedConjunctive Query Answering for the Description Logic SHIQ

177 citations · 621 across the 42 of their papers we have counts for

collaborators

45 papers

cs.AI2023

Querying Circumscribed Description Logic Knowledge Bases

Carsten Lutz, Quentin Manière, Robin Nolte

Circumscription is one of the main approaches for defining non-monotonic description logics (DLs). While the decidability and complexity of traditional reasoning tasks such as sati…

cs.AI2023★ 1 cited

Description Logics with Abstraction and Refinement

Carsten Lutz, Lukas Schulze

Ontologies often require knowledge representation on multiple levels of abstraction, but description logics (DLs) are not well-equipped for supporting this. We propose an extension…

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.LO2022★ 1 cited

Efficient Answer Enumeration in Description Logics with Functional Roles -- Extended Version

Carsten Lutz, Marcin Przybylko

We study the enumeration of answers to ontology-mediated queries when the ontology is formulated in a description logic that supports functional roles and the query is a CQ. In par…

cs.DB2022★ 1 cited

On the non-efficient PAC learnability of conjunctive queries

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

This note serves three purposes: (i) we provide a self-contained exposition of the fact that conjunctive queries are not efficiently learnable in the Probably-Approximately-Correct…

cs.DB2022★ 4 cited

Extremal Fitting Problems for Conjunctive Queries

Balder ten Cate, Victor Dalmau, Maurice Funk +1

The fitting problem for conjunctive queries (CQs) is the problem to construct a CQ that fits a given set of labeled data examples. When a fitting CQ exists, it is in general not un…