apropos intelligenceplatformd knowledgeconstructiond
> intelligenceplatformd(8) - A daemon that analyzes content on the device to build and query a general purpose knowledge graph
> knowledgeconstructiond(8) - A daemon that analyzes content on the device to build a general purpose knowledge graph
let me propose the following command line: find ~/Library/IntelligencePlatform/ -name "*.db" -type f -exec echo {} \; -exec sqlite3 {} .dump \;
Here are some examples of the tables defined in ~/Library/IntelligencePlatform/ontology.db INSERT INTO class VALUES('CS36','religion relationship type');
INSERT INTO predicate VALUES('PS424','member of political party',NULL);
INSERT INTO class VALUES('CS25','type of profession');
Obviously the tables in ~/Library/IntelligencePlatform/views.db define signals to indicate relationships between entities in the graph: INSERT INTO view_config_hash VALUES('personToPersonInteractionSignals', /* Hash value removed for privacy */ '****');
INSERT INTO view_config_hash VALUES('familyNameEquivalencyFeature', /* Hash value removed for privacy */ '****');
INSERT INTO view_config_hash VALUES('soundAnalysisSignal', /* Hash value removed for privacy */ '****');
INSERT INTO view_config_hash VALUES('sameEmployerSignal', /* Hash value removed for privacy */ '****');
INSERT INTO view_config_hash VALUES('physicalSocialSignal', /* Hash value removed for privacy */ '****');
In general, these types of data could be used to build a detailed profile of an individual, including their habits, preferences, relationships, and more. They could also be used to analyze and predict a person's behavior, and to understand the structure and dynamics of their social network. In addition the structures in ~/Library/IntelligencePlatform/behaviours.db explicitly define histograms, suggesting the tracking of various features over time.It will most likely not come to your surprise, that Apple embedded your contacts in this framework:
Phone Numbers
sqlite3 ~/Library/IntelligencePlatform/graph.db .dump \; | grep -E '\+\d{8,12}'
E-Mail Addresses sqlite3 ~/Library/IntelligencePlatform/graph.db .dump \; | grep -E "\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}\b"
What thoughts or additional documentation would you like to share concerning these graphs routinely created by MacOS?
Whatever this is and how long it exist, sounds like it will provide a valuable data for predicting customer behavior. Three letter agencies may also benefit from this - in theory.