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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
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Answering SPARQL Queries over Databases under OWL 2 QL Entailment Regime

Ch. 35. P. 552–567.
Kontchakov R., Rezk M., Rodríguez-Muro M., Xiao G., Zakharyaschev M.

We present an extension of the ontology-based data access platform Ontop that supports answering SPARQL queries under the OWL 2 QL direct semantics entailment regime for data instances stored in relational databases. On the theoretical side, we show how any input SPARQL query, OWL 2 QL ontology and R2RML mappings can be rewritten to an equivalent SQL query solely over the data. On the practical side, we present initial experimental results demonstrating that by applying the Ontop technologies—the tree-witness query rewriting, T-mapping optimisations using SQL expressivity and database integrity constraints—the system produces scalable SQL queries.

Language: English
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Keywords: SPARQLSQL query optimization

In book

The Semantic Web – ISWC 2014. Proceedings of 13th International Semantic Web Conference, Part I
The Semantic Web – ISWC 2014. Proceedings of 13th International Semantic Web Conference, Part I
Cham: Springer, 2014.
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