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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Dispute Resolution with OWL DL and Reasoning

CEUR Workshop Proceedings. 2023. No. 3515.
Baimuratov I., Lisanyuk E., Prokudin D.

Dispute resolution is an essential part of argumentation. Although there have been particular advances in computational argumentation with machine learning, we assume that explicit and deterministic techniques for dispute resolution still have significant potential. There are semantic approaches to argument representation, such as the Argument Interchange Format that supports a certain level of interoperability, but according to our knowledge, dispute resolution techniques based on semantics are not yet studied. In this research, we consider single mixed disputes through abstract argumentation frameworks and propose a method for representing such disputes in OWL DL that allows resolving them with reasoning. Additionally, we develop an algorithm for generating the OWL DL representation having argument sets and attack relations as input. The algorithm is validated with a proof of concept implementation, and the OWL DL representation – with an example of correct dispute resolution performed by reasoning over the generated ontology

Research target: Philosophy, Ethics, and Religious Studies Computer Science
Language: English
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Keywords: reasoningdispute resolutionabstract argumentation frameworkscomputational argumentationOWL DL
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