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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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Multidimensional ontology of electronic document as a base of information system

International Journal "Information Technologies & Knowledge". 2015. Vol. 9. No. 3. P. 247–258.
Lanin V.
This work presents an approach based on unstructured information retrieving from electronic documents to design and organize information system functioning. Document processing is based on semantic indexing and additional meta-information including. Document model allows formalize intelligent document processing algorithms and integrate documents containing ontological resources. Semantic indexing is based on multidimensional ontology describing document semantics and structure. To process documents agent-based approach allowing to resolve task of including business logic into documents is supposed. A systems built on such principles will be more flexible, intelligent and adjustable to changing environment. The proposed approach lets to solve a wide range of tasks, assuming usage of electronic documents at all lifecycle steps, which in turn allows implement document-oriented paradigm of information system life cycle maintenance.
Priority areas: IT and mathematics business informatics
Language: English
Full text
Keywords: ontologyelectronic documentintellectual agentssemantic indexingdocument modelinformation system
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