Knowledge graphs of personal data used in personal data processing

Parts of knowledge graphs of personal data processing are graph representations of metadata of personal data.

Metadata of personal data describe personal data.

Metadata can also be mapped to real data like this:

Many companies collect personal data from many sources without knowing what personal data they collect.

Hence, there is a need to categorise the real personal data, in real time, against metadata that describe the personal data in order to know what personal data they collect from each data source, and, based on the metadata, determine which measures they shall take to keep collecting certain categories of personal data (for a specified purpose) and stop collecting certain categories of personal data.

This requires:

1. metadata with high quality
2. technology with high precision to map real personal data to metadata about personal data
3. machines with high processing capabilities to map real personal data to metadata about personal data in real time as personal data passes through servers, mobile phones etc.

Points 1 and 2. above exist in Signatu .

Points 3 is probably in the making by 英伟达 and other similar companies.

You can read my previous post on "KILLER GRAPHS" here.

You can reach Signatu at: hello@signatu