SYSTEM AND PROCESS FOR ANALYSIS, QUALIFICATION AND ACQUISITION OF SOURCES OF UNSTRUCTURED DATA BY MEANS OF EMPIRICAL ATTRIBUTION Russian patent published in 2018 - IPC G06F17/22 G06F17/30 

FIELD: computing; counting.

SUBSTANCE: invention relates to the processes of attribution and differentiation for the generation of descriptive and contextual attributes of data from poorly managed or poorly structured, unstructured or partially structured sources. Receive data from a data source in a data source analysis method. Attribute the data source in accordance with the rules and, thus, give the attribute. Analyze the data to identify the characteristics of entanglement in the data. Qualitative measure of the attribute is calculated and, thus, a weighted attribute is determined. Qualitative measure of the entanglement characteristic is calculated and, thus, a weighted characteristic of entanglement is determined. Analyze the weighted attribute and weighted characteristic of entanglement, to create a disposition. Filter data in accordance with the disposition and, thus, determine the extracted data.

EFFECT: technical result is to increase the speed, ensure scalability, flexibility and consistency of the processes of attribution and differentiation of data.

15 cl, 4 dwg, 10 tbl