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Položka Semantic Causal and Correlation-Causal Graphs Based on Large Language Model Relationship Evaluation(The Institute of Electrical and Electronics Engineers, 2026-09-28) Dudáš, AdamCausality and correlation between pairs of attributes are closely related concepts relevant in a number of areas of data science and artificial in telligence. Until recently, the real-world semantic causality of relationships was determined exclusively by human experts. However, recent advances in large language models enable the substitution of this expert reasoning by automated systems in this domain. This development motivated the main objective of the presented study, which can be summarized as the design and implementation of two visualization models for semantic causal analysis based on large language models and correlation analysis, labelled as causal graphs and correlationcausal graphs. Both of the proposed models are evaluated on two datasets with the focus on qualitative, quantitative, and application-oriented aspects of the approaches. The results reached in the study indicate that the proposed methods are suitable for automated causality identification in the context of diagnostic and exploratory data analysis.Položka Význam umelej inteligencie (AI) pre informačné inštitúcie(Středočeská vědecká knihovna : Kladno, 2026-09-29) Katuščák, DušanKnihovníci a iní informační špecialisti na celom svete sa snažia pochopiť fenomén AI. Postupne sa formujú názory na význam a možnosti AI v rôznych oblastiach a odboroch ľudskej činnosti. Aj v komunite informačných špecialistov prebiehajú podobné diskusie. Zoznamujú sa s nástrojmi AI a získavajú skúsenosti s jej používaním.Položka Large language models as semantic evaluators of embedded correlation substructures(MDPI : Basel, 2026-09-16) Dudáš, Adam; Babic, PeterGraphical methods of correlation analysis, such as correlation n-ptychs or hotspots, focus on the identification of the strength and direction of functional relationships between sets of attributes in multidimensional datasets. Since these correlation structures only take into account values of the attributes, situations arise when the relationship is coincidental, meaning that there is no real-world causality between the values of the observed attributes but these values still exhibit significant correlation. This problem of correlation analysis as a whole motivates the need for semantic evaluation of significant relationships identified using its methods—a task that could potentially be time- and resource-intensive when conducted manually. However, modern results in the large language model area provide tools for the automatization of such tasks. Hence, this work focuses on the design and implementation of a novel large language model-based method for semantic evaluation of correlation structures embedded in a correlation graph, specifically correlation n-ptychs for 𝑛∈{3, 4, 5} and correlation hotspots. In the method, the large language model is automatically prompted to assess the semantic nature of relationships in the set of correlation substructures of the dataset, identify their real-world relevance, and visualize the result in the form of a Semantic evaluation card. The proposed approach is evaluated using two benchmarking datasets focusing on the visualization method used in the model, large language model interaction with the correlation substructures, and comparative analysis with previously used tools in the area.Položka Príprava na digitalizáciu archívnych dokumentov : Výskumná správa(Slezská univerzita v Opave, 2026) Katuščák, DušanPredložená výskumná správa vyplýva z vecného a časového plánu projektu APVV DIGINARCH-AI Digitalizácia a inteligentná obsahová analýza historických dokumentov pre odbornú archívnu činnosť a historickú vedu s termínom ukončenia 31.10. 2025. Správa patrí do pracovného balíka (PB1): Príprava na digitalizáciu dokumentov. Správa obsahuje v súlade s plánom: a) Identifikáciu dokumentov vhodných na digitalizáciu; b) Tvorba zoznamov a organizačných pokynov na digitalizáciu; c ) Nastavenie metadát a organizačných noriem pre digitalizáciu.Položka Riešenie tzv. maďarskej otázky v odboji a po II. sv. vojne Osídľovací úrad pre Slovensko a Fond národnej obnovy(Univerzita Mateja Bela : Banská Bystrica, 2026) Syrný, Marek