Selection and aggregation of sentences in the knowledge formation process

The presented method is based on the use of the special formal language. In the formal language, all sentence structures are expressed as sets of syntactic elements, syntagmes, which allows us to reduce the semantic identification of sentences (their selection and aggregation) to the use of set-theoretical inclusion. Input text sentences are at first transformed into set-theoretical form, then the resulting formal sentence structures are selected and united into growing knowledge representations. The integration of the sentences that have one and the same subject (a noun phrase contained in user´s request) is considered as a subject knowledge representation; and then any collection of the subject knowledge representations produced in the knowledge formation process is considered as a user-oriented (highly tailored) description of subject field.