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.