METHOD FOR AUTOMATIC TEXT PROCESSING IN NATURAL LANGUAGE THROUGH SEMANTIC INDEXATION, METHOD FOR AUTOMATIC PROCESSING COLLECTION OF TEXTS IN NATURAL LANGUAGE THROUGH SEMANTIC INDEXATION AND COMPUTER READABLE MEDIA

摘要

FIELD: information technology. ^ SUBSTANCE: text is segmented in electronic form to elementary units. Fixed collocations are identified and sentences are formed. Semantically significant objects and semantically significant relationships between then are identified. Several triads are formed for each semantically significant relationship, in which a single first type triad corresponds to the link set by the semantically significant relationship between two semantically significant objects. Each second type triad corresponds to the value of a specific attribute of one of these semantically significant objects. Each third type triad corresponds to the value of a specific attribute of the semantically significant relationship itself. All semantically significant objects which are linked by semantically significant relationships are separately indexed into several formed triads. The formed triads and the obtained indices together with the link to the initial text from which said triads were formed are stored in a database. ^ EFFECT: more accurate and faster searching for relevant facts and documents. ^ 12 cl, 9 dwg, 16 tbl, 1 ex