Abstract: A method and system of machine-based extraction of information from a text document employ the steps of performing semantic/syntactic analysis for sentences of the document to build semantic-syntactic structures of the sentences; applying production rules to the semantic-syntactic structures to generate a set of logical conclusions about objects of information comprised in the document, wherein the production rules are based on linguistic characteristics and lexical-morphological properties of the semantic-syntactic structures and ontologies of subject matters of the sentences; and using the set of logical conclusions about objects of information comprised in the document to build an ontology-based RDF graph.

Abstract: Systems and methods for creating ontologies by analyzing natural language texts. An example method comprises: receiving identifiers of a first plurality of word groups within a natural language text, each word group comprising one or more natural language words; associating an object represented by each word group with a concept of an ontology; identifying, within the natural language text, a second plurality of word groups, wherein each word group of the second plurality of word groups is associated with the concept of the ontology; responsive to receiving a confirmation that a word group of the second plurality of word groups represents an object associated with the concept of the ontology, modifying a parameter of a classification model that produces a value reflecting a degree of association of a given object with the concept of the ontology.

Abstract: A method and system of machine-based extraction of information from a text document employ the steps of performing semantic/syntactic analysis for sentences of the document to build semantic-syntactic structures of the sentences; applying production rules to the semantic-syntactic structures to generate a set of logical conclusions about objects of information comprised in the document, wherein the production rules are based on linguistic characteristics and lexical-morphological properties of the semantic-syntactic structures and ontologies of subject matters of the sentences; and using the set of logical conclusions about objects of information comprised in the document to build an ontology-based RDF graph.