TECHNOLOGY OF AUTOMATED FACTOGRAPHIC RETRIEVAL SYSTEM’S ONTOLOGY FILLING
This work is about technology of automated factographic retrieval system ontology filling. This technology contains extracting keywords from corpus of texts with similar topic for following using these keywords as possible values of entity’s attributes, that describes in created ontology of subject field for organizing of factographic retrieval in expanded corpus of text appropriated topics. Suggested technology based on support vector model for stamming text and following random-walk method for extracting keywords. After learned hidden layer neural network works with set of these keywords. So, ontology for document formed in neural network working builds by the set of semantic connected pairs of words and after with use of database search organizing.