The problem of materials selection in terms of their mechanical properties during the design of new products is a key issue of design. The

complexity of this process is mainly due to a multitude of variants in the previously produced materials and the possibility of their further

processing improving the properties. In everyday practice, the problem is solved basing on expert or designer knowledge. The paper is the

proposition of a solution using computer-aided analysis of material experimental data, which may be acquired from external data sources.

In both cases, taking into account the rapid growth of data, additional tools become increasingly important, mainly those which offer

support for adding, viewing, and simple comparison of different experiments. In this paper, the use of formal knowledge representation in

the form of an ontology is proposed as a bridge between physical repositories of data in the form of files and user queries, which are

usually formulated in natural language. The number and the sophisticated internal structure of attributes or parameters that could be the

criteria of the search for the user are an important issue in the traditional data search tools. Ontology, as a formal representation of

knowledge, enables taking into account the known relationships between concepts in the field of cast iron, materials used and processing

techniques. This allows the user to receive support by searching the results of experiments that relate to a specific material or processing

treatment. Automatic presentation of the results which relate to similar materials or similar processing treatments is also possible, which

should make the conducted analysis of the selection of materials or processing treatments more comprehensive by including a wider range

of possible solutions.

In this article attention is paid to improving the quality of text document classification. The common techniques of analysis of text documents used in classification are shown and the weakness of these methods are stressed. Discussed here is the integration of quantitative and qualitative methods, which is increasing the quality of classification. In the proposed approach the expanded terms, obtained by using information patterns are used in the Latent Semantic Analysis. Finally empirical research is presented and based upon the quality measures of the text document classification, the effectiveness of the proposed approach is proved.

The article is devoted to personal nouns with suffi x -ant in Polish and Belarusian. The lexical and semantic analysis of the studied group of words showed that in both languages they belong to the literary variety of language, however, numerous nouns represent rare vocabulary, sometimes characterized stylistically. The overwhelming majority of names defi nes the names of active contractors of activities, less often – passive contractors, and least frequently – names of owners. In addition, the nomina masculina with suffi x -ant belong to the attributive names, defi ning people on the basis of their character traits, tendencies, and often vices. The s tudied lexis include archaic or colloquial derivatives. Among the specialist words, there were examples representing such fi elds as law and judiciary, economics and trade, religion and art, education and science.