The Method and the Model for Processing Textual Information on a Learned Transformer for Information-Retrieval System
To form a knowledge base is complicated problem traditionally. There are a lot kind of objects that are possibly used for forming a knowledge base. These objects may have different structures, formats, ways of data representation, languages. The simple conjunction is not effective and suitable. In general case the knowledge base has got as an unordered knowledge base. There are uncategorized documents in such unordered knowledge base with different formats that causes the special and particular approaches for recognition, systematization and next processing of some textual information.