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Automatic understanding is a new term, which would hardly appear in bibliographies three or four years ago but nowadays it is being used by increasing numbers of researchers and discussed in a growing number of papers. Most of these papers take into account the automatic understanding of information in the traditional text form - sometimes on the basis of ideas such as Semantic Networks and Ontologies. Automatic understanding is therefore being treated as a tool for better web searching and document summarization. In this work it will be proven that, in its design, the automatic understanding of business situations and opportunities can be very similar to the automatic understanding of medical images but definitely different in its algorithmic form - used for the automatic understanding of the merit content of text messages based on ontology.