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OPTIONAL is a key feature in SPARQL for dealing with missing information. While this operator is used extensively, it is also known for its complexity, which can make efficient evaluation of queries with OPTIONAL challenging. We tackle this…

Databases · Computer Science 2018-06-19 Guohui Xiao , Roman Kontchakov , Benjamin Cogrel , Diego Calvanese , Elena Botoeva

We show that, for OWL 2 QL ontology-mediated queries with (i) ontologies of bounded depth and conjunctive queries of bounded treewidth, (ii) ontologies of bounded depth and bounded-leaf tree-shaped conjunctive queries, and (iii) arbitrary…

Logic in Computer Science · Computer Science 2016-04-19 Meghyn Bienvenu , Stanislav Kikot , Roman Kontchakov , Vladimir V. Podolskii , Michael Zakharyaschev

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

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

Ontology-Mediated Query Answering (OMQA) is a well-established framework to answer queries over an RDFS or OWL Knowledge Base (KB). OMQA was originally designed for unions of conjunctive queries (UCQs), and based on certain answers. More…

Databases · Computer Science 2019-11-22 Julien Corman , Guohui Xiao

Mapping relational databases to RDF is a fundamental problem for the development of the Semantic Web. We present a solution, inspired by draft methods defined by the W3C where relational databases are directly mapped to RDF and OWL. Given a…

Databases · Computer Science 2012-02-23 Juan F. Sequeda , Marcelo Arenas , Daniel P. Miranker

OWL (Web Ontology Language) ontologies which are able to formally represent complex knowledge and support semantic reasoning have been widely adopted across various domains such as healthcare and bioinformatics. Recently, ontology…

Artificial Intelligence · Computer Science 2025-07-22 Hui Yang , Jiaoyan Chen , Yuan He , Yongsheng Gao , Ian Horrocks

The eXtensible Markup Language (XML) can be used as data exchange format in different domains. It allows different parties to exchange data by providing common understanding of the basic concepts in the domain. XML covers the syntactic…

Digital Libraries · Computer Science 2012-06-05 Nora Yahia , Sahar A. Mokhtar , AbdelWahab Ahmed

We introduce and study several notions of approximation for ontology-mediated queries based on the description logics ALC and ALCI. Our approximations are of two kinds: we may (1) replace the ontology with one formulated in a tractable…

Artificial Intelligence · Computer Science 2022-07-01 Anneke Haga , Carsten Lutz , Leif Sabellek , Frank Wolter

We develop a query answering system, where at the core of the work there is an idea of query answering by rewriting. For this purpose we extend the DL DL-Lite with the ability to support n-ary relations, obtaining the DL DLR-Lite, which is…

Databases · Computer Science 2009-02-11 Mantas Simkus , Evaldas Taroza , Lina Lubyte , Daniel Trivellato , Zivile Norkunaite

Real-time analytics that requires integration and aggregation of heterogeneous and distributed streaming and static data is a typical task in many industrial scenarios such as diagnostics of turbines in Siemens. OBDA approach has a great…

In ontology-mediated query answering, access to incomplete data sources is mediated by a conceptual layer constituted by an ontology. To correctly compute answers to queries, it is necessary to perform complex reasoning over the constraints…

Databases · Computer Science 2022-08-17 Christian Alrabbaa , Stefan Borgwardt , Patrick Koopmann , Alisa Kovtunova

The advent of large language models (LLMs) has revolutionized natural language processing, enabling unprecedented capabilities in understanding and generating human-like text. However, the computational cost and convergence times associated…

Computation and Language · Computer Science 2024-11-26 Kerim Büyükakyüz

Ontology authoring is a complex process, where commonly the automated reasoner is invoked for verification of newly introduced changes, therewith amounting to a time-consuming test-last approach. Test-Driven Development (TDD) for ontology…

Artificial Intelligence · Computer Science 2018-12-17 C. Maria Keet , Kieren Davies , Agnieszka Lawrynowicz

In recent years, several efforts have been made to enhance conceptual data modelling with automated reasoning to improve the model's quality and derive implicit information. One approach to achieve this in implementations, is to constrain…

Logic in Computer Science · Computer Science 2009-04-22 C. Maria Keet

The paradigm of large language model (LLM) reasoning is shifting from parameter scaling to test-time compute scaling, yet many existing approaches still rely on uniform brute-force sampling (for example, fixed best-of-N or self-consistency)…

Artificial Intelligence · Computer Science 2026-03-02 Siyuan Ma , Bo Gao , Xiaojun Jia , Simeng Qin , Tianlin Li , Ke Ma , Xiaoshuang Jia , Wenqi Ren , Yang Liu

Large Language Models (LLMs), despite their success in question answering, exhibit limitations in complex multi-hop question answering (MQA) tasks that necessitate non-linear, structured reasoning. This limitation stems from their inability…

Computation and Language · Computer Science 2025-09-25 Haonan Bian , Yutao Qi , Rui Yang , Yuanxi Che , Jiaqian Wang , Heming Xia , Ranran Zhen

As todays world grows with the technology on the other hand it seems to be small with the World Wide Web. With the use of Internet more and more information can be search from the web. When Users fires a query they want relevancy in…

Information Retrieval · Computer Science 2013-11-26 Debajyoti Mukhopadhyay , Sajeeda Shikalgar

In many scenarios, complete and incomplete information coexist. For this reason, the knowledge representation and database communities have long shown interest in simultaneously supporting the closed- and the open-world views when reasoning…

Artificial Intelligence · Computer Science 2019-12-17 Shqiponja Ahmetaj , Magdalena Ortiz , Mantas Simkus

Most of data on the Web are still stored in relational databases. Therefore, it is more important to make the correspondence between relational databases (RDB) and ontologies for storing the Web data. In this paper, we present an new…

Databases · Computer Science 2021-10-01 Noreddine Gherabi , Khaoula Addakiri , Mohamed Bahaj