Search for Appropriate Textual Information Sources 1 VSB-Technical University Ostrava, Department of Computer Science FEI 17. listopadu 15, 708 33 Ostrava, Czech Republic 2 Silesian University in Opava, Institute of Computer Science, Bezručovo nám. 13, 746 01 Opava, Czech Republic Abstract. In this paper, we deal with the support in the search for appropriate textual sources. Users ask for an atomic concept that is explicated using machine learning methods applied to different textual sources. Next, we deal with the so-obtained explications to provide even more useful information. To this end, we apply the method of computing association rules. The method is one of the data-mining meth- ods used for information retrieval. Our background theory is the system of Trans- parent Intensional Logic (TIL); all the concepts are formalised as TIL constructions. Keywords. Machine learning; Transparent Intensional Logic; TIL; atomic concept; molecular concept; association rules; explication; natural language processing; in- formation source recommendation 1. Introduction We live in the era of globalisation, i.e. in times of interaction among people worldwide that has grown due to great advances in transportation, information and communication technologies. Though being a complex phenomenon, globalisation is usually character- ised as a form of the integration of local economies into a global, unregulated market economy. Yet, the same phenomenon can be traced in other spheres of our lives, includ- ing science and research development. Globalisation has positive effects on the environ- ment, culture, economic development, and in general human well-being in societies around the world. These are the upsides. However, some people complain that there are the downsides of globalisation as well because the gaps between rich and developing countries have grown. In 2000, the International Monetary Fund (IMF) identified four essential aspects of globalisation: trade and transactions, capital and investment move- ments, migration and movement of people, and the dissemination of knowledge. 1 Here we are not going to deal with economic aspects of this phenomenon; rather, we are interested in the last issue mentioned, namely the increasing amount of knowledge, technology and information moving across international borders. Together with human innovation and progress in information technologies, these factors give rise to ‘infor- mation overload’. True, there is a lot of knowledge around, spread in the vast amount of textual resources available on the Internet. Yet, there are also plenty of disinformation, 1 For details, see [7]. Adam ALBERT 1 , Marie DUŽÍ 1 , Marek MENŠÍK 1 , Miroslav PAJR 2 , Vojtěch PATSCHKA 1 Information Modelling and Knowledge Bases XXXII M. Tropmann-Frick et al. (Eds.) © 2021 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). doi:10.3233/FAIA200832 227