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Zhanna B. Sadirmekova

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Open access Oct 2026

A multilingual heterogeneous knowledge graph framework for curriculum–vacancy–MOOC alignment: edge-weight regression with heterogeneous graph transformers for educational recommendation

Digitalisation and artificial intelligence have widened the gap between competencies certified by university curricula and skills demanded by employers. MOOCs could close this gap, but existing recommenders rarely connect what a programme teaches, what the market requires, and what online courses develop within a s...

S. Serikbayeva, M. Sambetbayeva, V. Ramazanova et al. · 0 citations
Open access Oct 2026

Page faults minimization for virtual memory systems using working set strategy

The classical working set (WS) model limits thrashing by keeping in memory all pages referenced within a fixed window delta. However, a constant delta cannot adapt to changing locality across execution phases, leading to either inefficient memory utilization or increased page faults. This paper treats delta as a contro...

Aigul Tungatarova, A. Murzakhmetov, G. Borankulova et al. · 0 citations
Open access Sep 2026

Fine-tuning multilingual sentence transformers for low-resource skill-concept matching across Kazakh, Russian, and English

Introduction Matching short, specialized skill expressions across English, Russian, and Kazakh is challenging because general-domain multilingual encoders underperform on terse, code-mixed, domain-specific phrases, particularly in the low-resource Kazakh setting. Methods We fine-tuned a multilingual Sentence Transforme...

S. Serikbayeva, M. Sambetbayeva, V. Ramazanova et al. · 0 citations
Open access Sep 2026

BUILDING KNOWLEDGE GRAPHS FOR MOOC SELECTION BASED ON THE INTEGRATION OF LABOR MARKET DEMANDS AND EDUCATIONAL PROGRAMS

An integration model based on knowledge graphs and machine learning methods for analyzing relationships between educational programs, labor market requirements, and online courses (MOOCs) and has the capability to identify missing competencies and automatically recommend relevant courses for their acquisition.

K. S. Serikbayeva, V. Ramazanova, M. Sambetbayeva et al. · 0 citations
Open access Aug 2026

Language-Model-Based Architecture for Automatic Concept Placement in Ontologies

This paper addresses the placement of concepts that are absent from the target ontology—the out-of-knowledge-base setting—in which a textual mention must be assigned one or more insertion positions in the subsumption hierarchy rather than linked to an existing node.

Zhanna B. Sadirmekova, M. Sambetbayeva, B. Abdygalym et al. · 0 citations

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