The main objectives of this paper is to propose a conceptual and software environment in which different aspects of cluster analysis of ontology-based data could be studied. The ontology-based dataset has two core components: description of categories and description of objects and relationships between them. Similarity between objects is defined as an amalgamation function of taxonomic, relationship and attribute similarity. The different measures to calculate similarity can be used. Further research is needed in order to evaluate these measures. The creation of a software tool which allows for classification of ontology-based data and comprehensive analysis of results is essential for the research in the area of ontology-based data mining. Such a tool should be universal, extensible and open. The universality manifests itself in the possibility of processing any data sets described by OWL tailored to meet individual requirements. The system extensibility means that it can be enriched with new elements without the necessity of making changes in its main elements. The openness enables the communications with other data analysis systems. In the paper theoretical aspects of cluster analysis of ontology-based data sets are presented. Next, a framework of cluster analysis system is outlined. Finally, some technical details of the system implementation are discussed.

The aim of this study was to assess ten-year differences in nutritional statuses and obesity prevalences between populations of preschool children from Katowice, Poland, examined in 2007 and 2017, and to determine factors associated with overweight and obesity in preschool children. A cross-sectional questionnaire was conducted among parents and legal guardians of 276 preschool children in 2007 and 259 preschool children in 2017. Basic anthropometric measurements were performed. Overall, the prevalence of overweight and obesity among our sample of Polish preschool children (median age 5.25 year) was 16.82%, whereas 4.49% of children were obese. No significant differences in the number of overweight and obese children were observed when comparing the years 2017 to 2007. Overall body mass index (BMI) z-score was significantly lower in this group of children from 2017. However, median values of the BMI z-score were higher in two of the weight categories (overweight and obesity) in 2017. The child’s BMI z-score was positively correlated with birth weight (r = 0.1, p < 0.05). The BMI z-score was positively correlated with maternal BMI, paternal BMI, and maternal pregnancy weight gain, r = 0.24 p < 0.01; r = 0.16 p < 0.01; r = 0.12 p < 0.05, respectively. A decrease in overweight and obesity prevalence over the past decade and higher median values of BMI z-scores in the group of children with excessive weight in 2017 were observed. Birth weight, maternal BMI, paternal BMI, and maternal pregnancy weight gain all correlate positively with a child’s BMI z-score.

Celem artykułu jest identyfikacja oraz określenie istotności kompetencji oczekiwanych przez pracodawców od pracowników w działach HR. Analizie zostały poddane oferty pracy zamieszczone w portalu pracuj.pl. Do analizy wykorzystano metodę automatycznej analizy ofert zatrudnienia opartą na algorytmie ukrytej alokacji Dirichleta. Określono również istotność każdej z wyodrębnionych kompetencji. Najistotniejszą kompetencją oczekiwaną przez pracodawców okazały się wiedza i umiejętności pozwalające na realizację zadań z zakresu prowadzenia spraw kadrowych, m.in. prawnych aspektów zatrudnienia, prawa pracy, ubezpieczeń, płac, podatków, monitorowania dokumentacji kadrowej. Kolejna kompetencja to umiejętność przeprowadzenia procesu rekrutacji i selekcji. Trzecia z punktu widzenia istotności to przygotowanie i gotowość do pracy w zespole międzynarodowym.

The analysis of the social impact of research activity carried out in the area of selected social disciplines in the United Kingdom and in Poland was the main goal of the paper. The research process was conducted with the use of documents prepared for the evaluation procedures taking place in the United Kingdom in 2014 and in Poland in 2022 and presenting cases of the impact of research activity on society and the economy. This analysis, performed with the use of exploratory text analysis methods (particularly with the latent Dirichlet allocation model), allowed to identify topics and evaluate their significance in documents prepared by individual universities or groups of universities. A comparative analysis of the contents of descriptions was also performed. All the analyses presented in the paper were conducted by the authors with the use of computer programs written in the R language.