Structured data for privacy risk assessment

• Main Authors: JAIN, SHIVANI, ROSENBAUM UTE, CUELLAR JARAMILLO JORGE RICARDO, SUPPAN SANTIAGO REINHARD
• Format: Patent
• Language: Chinese; English
• Published: 01.03.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

Structured data is evaluated for privacy risk. Providing a plurality of text documents related to the application field; automatically determining a plurality of text segments based on the plurality of text documents; automatically assigning a tag to each of the plurality of text segments, the tag being a word representing the text segment; providing a plurality of main objects in the application field; automatically clustering the plurality of text segments and the plurality of tags based on the plurality of primary objects to obtain a plurality of clusters; automatically clustering a plurality of text fragments with related information in sub-clusters in each cluster, and distributing labels of the clustered text fragments to the corresponding sub-clusters; for each attribute, automatically assigning the attribute to one of the plurality of sub-clusters based on a similarity between at least one of an attribute name and an attribute description of the attribute and the plurality of text segments and the plu