Ontology learning techniques are based on extensive basic knowledge, from unstructured data to structured data. Creating an ontology manually is undoubtedly a time consuming process. In addition, manually-curated background knowledge is a scarce resource for many domains. Ontology learning is a relatively new research area that draws from related fields. However, a number of approaches are still rising up and, what is more, they vary and evolve across different aspects. Therefore, the purpose of this article is to provide comprehensive knowledge about selected groups of methods, tools and approaches supporting ontology. Presenting different approaches to learning ontology and including them in one publicly available summary, aims to provide an overview of the most appropriate methods, tools and approaches to building ontologies from various sources. Besides, the proposed solution in this article will expand the already offered ontology of learning methods with additional, more detailed functions. In addition to the domain ontology offered, this is another goal of this article. The correctness of the proposed ontology was verified by the constructed competence questions and implemented using Description Logic query mechanism.