Strukturierung von Daten zur Beurteilung von Datenschutzrisiken

Details

Veröffentlichungs-Nr.

EP4328779

Aktenzeichen

EP22192421

Anmeldetag

26. August 2022

Veröffentlichung

26. Februar 2025

Erteilung

26. Februar 2025

Rechtsraum

EP

IPC

G06F21/62

Abstract

A computer-implemented method for assessing a person re-identification risk in an application domain is provided. In the application domain, for each of a plurality of persons a corresponding personal record is stored in a database. Each record comprises a set of attributes. Each attribute comprises a corresponding attribute name and a corresponding attribute value. The method comprises: providing (202) a plurality of text documents relating to the application domain; automatically determining (204), based on the plurality of text documents, a plurality of text snippets; automatically assigning (206) to each of the plurality of text snippets a label of a plurality of labels, the label being a word representing the text snippet; providing (208) a plurality of main objects in the application domain, automatically clustering (210) the plurality of text snippets and the plurality of labels based on the plurality of main objects for obtaining a plurality of clusters; automatically clustering (212), within each cluster, the plurality of text snippets with related information in sub-clusters and assigning the labels of the clustered text snippets to the corresponding sub-cluster; for each attribute, automatically assigning (214) the attribute to one of the plurality of sub-clusters based on a similarity between (i) at least one of the attribute name and an attribute description of the attribute, and (ii) the plurality of text snippets and the plurality of labels of the sub-clusters; and assessing (216), for each sub-cluster of the plurality of sub-clusters, a corresponding re-identification risk based on value types assigned to the attributes and the attribute descriptions of the attributes assigned to the sub-cluster.

Anmelder

Firma

Siemens Healthineers AG

Land

🇩🇪 Deutschland

Fachgebiete