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The Semantic Web ontology language OWL 2 DL comes with a variety of language features that enable sophisticated and practically useful modeling. However, the use of these features has been severely restricted in order to retain decidability…

Artificial Intelligence · Computer Science 2013-04-30 Michael Schneider , Sebastian Rudolph , Geoff Sutcliffe

In this work we contribute to the study of the fine-grained complexity of problems parameterized by multi-clique-width, which was initiated by F\"urer [ITCS 2017] and pursued further by Chekan and Kratsch [MFCS 2023]. Multi-clique-width is…

Data Structures and Algorithms · Computer Science 2026-04-29 Benjamin Bergougnoux , Vera Chekan , Stefan Kratsch

We investigate the problem whether two ALC knowledge bases are indistinguishable by queries over a given vocabulary. We give model-theoretic criteria in terms of (partial) homomorphisms and products and prove that this problem is…

Logic in Computer Science · Computer Science 2016-08-08 Elena Botoeva , Carsten Lutz , Vladislav Ryzhikov , Frank Wolter , Michael Zakharyaschev

Evaluating a Boolean conjunctive query Q against a guarded first-order theory F is equivalent to checking whether "F and not Q" is unsatisfiable. This problem is relevant to the areas of database theory and description logic. Since Q may…

Logic in Computer Science · Computer Science 2019-03-14 Vince Bárány , Georg Gottlob , Martin Otto

SPARQL query rewriting is a fundamental mechanism for uniformly querying heterogeneous ontologies in the Linked Data Web. However, the complexity of ontology alignments, particularly rich correspondences (c : c), makes this process…

Databases · Computer Science 2025-12-08 Anicet Lepetit Ondo , Laurence Capus , Mamadou Bousso

In the materials design domain, much of the data from materials calculations are stored in different heterogeneous databases. Materials databases usually have different data models. Therefore, the users have to face the challenges to find…

Databases · Computer Science 2020-11-06 Huanyu Li , Rickard Armiento , Patrick Lambrix

Traditional information retrieval systems represent documents and queries by keyword sets. However, the content of a document or a query is mainly defined by both keywords and named entities occurring in it. Named entities have ontological…

Information Retrieval · Computer Science 2018-07-17 Vuong M. Ngo , Tru H. Cao

In ontology-based data access, databases are connected to an ontology via mappings from queries over the database to queries over the ontology. In this paper, we consider mappings from relational databases to first-order ontologies, and…

Artificial Intelligence · Computer Science 2016-07-08 Daniel P. Lupp , Evgenij Thorstensen

Over the past two decades several fragments of first-order logic have been identified and shown to have good computational and algorithmic properties, to a great extent as a result of appropriately describing the image of the standard…

Logic in Computer Science · Computer Science 2017-03-08 Lidia Tendera

We investigate semiring provenance--a successful framework originally defined in the relational database setting--for description logics. In this context, the ontology axioms are annotated with elements of a commutative semiring and these…

Logic in Computer Science · Computer Science 2026-03-31 Camille Bourgaux , Ana Ozaki , Rafael Peñaloza

We challenge existing query-based ontology fault localization methods wrt. assumptions they make, criteria they optimize, and interaction means they use. We find that their efficiency depends largely on the behavior of the interacting…

Artificial Intelligence · Computer Science 2022-08-05 Patrick Rodler

Generating vector representations (embeddings) of OWL ontologies is a growing task due to its applications in predicting missing facts and knowledge-enhanced learning in fields such as bioinformatics. The underlying semantics of OWL…

Logic in Computer Science · Computer Science 2024-11-07 Fernando Zhapa-Camacho , Robert Hoehndorf

Query optimization, which finds the optimized execution plan for a given query, is a complex planning and decision-making problem within the exponentially growing plan space in database management systems (DBMS). Traditional optimizers…

Databases · Computer Science 2025-02-11 Jie Tan , Kangfei Zhao , Rui Li , Jeffrey Xu Yu , Chengzhi Piao , Hong Cheng , Helen Meng , Deli Zhao , Yu Rong

Contextuality is a central feature of quantum theory, traditionally understood as the impossibility of reproducing quantum measurement statistics using noncontextual ontological models. We study classical ontological descriptions in which a…

Artificial Intelligence · Computer Science 2026-04-16 Song-Ju Kim

In our work, we systematize and analyze implicit ontological commitments in the responses generated by large language models (LLMs), focusing on ChatGPT 3.5 as a case study. We investigate how LLMs, despite having no explicit ontology,…

Computation and Language · Computer Science 2024-05-06 Nele Köhler , Fabian Neuhaus

Ontology matching (OM) plays a key role in enabling data interoperability and knowledge sharing, but it remains challenging due to the need for large training datasets and limited vocabulary processing in machine learning approaches.…

Information Retrieval · Computer Science 2025-03-28 Maria Taboada , Diego Martinez , Mohammed Arideh , Rosa Mosquera

In this paper, we investigate the parameterized complexity of model checking for Dependence Logic which is a well studied logic in the area of Team Semantics. We start with a list of nine immediate parameterizations for this problem,…

Logic in Computer Science · Computer Science 2021-09-21 Juha Kontinen , Arne Meier , Yasir Mahmood

OWL 2 has been standardized by the World Wide Web Consortium (W3C) as a family of ontology languages for the Semantic Web. The most expressive of these languages is OWL 2 Full, but to date no reasoner has been implemented for this language.…

Artificial Intelligence · Computer Science 2011-08-02 Michael Schneider , Geoff Sutcliffe

Recent work on quantitative approaches to explaining query answers employs responsibility measures to assign scores to facts in order to quantify their respective contributions to obtaining a given answer. In this paper, we study the…

Artificial Intelligence · Computer Science 2025-08-01 Meghyn Bienvenu , Diego Figueira , Pierre Lafourcade

The need for an ontological layer on top of data, associated with advanced reasoning mechanisms able to exploit the semantics encoded in ontologies, has been acknowledged both in the database and knowledge representation communities. We…

Artificial Intelligence · Computer Science 2014-12-16 Sebastian Rudolph , Michaël Thomazo , Jean-François Baget , Marie-Laure Mugnier